Xing Kang | Chemistry | Best Researcher Award

Published on by Academic Achievements

Best Researcher Award

Xing Kang
East China University of Science and Technology, China

Xing Kang
Affiliation East China University of Science and Technology
Country China
ORCID ID 0000-0001-5320-2376
Documents 17
Subject Area Chemistry
Event International Academic Achievements & Awards

Xing Kang is a researcher affiliated with East China University of Science and Technology in China, with research activity identified within the field of Chemistry. The researcher profile provided for this recognition page records 17 scholarly documents and an ORCID identifier, providing persistent information for distinguishing the researcher and connecting scholarly outputs across research systems. [1] [2]

Abstract

The Best Researcher Award profile recognizes Xing Kang for documented research activity in Chemistry and affiliation with East China University of Science and Technology. The supplied academic record contains 17 documents and an ORCID identifier that supports persistent researcher identification. [1] [2] This page presents the available profile information in a structured academic format and avoids attributing publication-level achievements that have not been independently supplied.

Keywords

Xing Kang; Best Researcher Award; Chemistry; East China University of Science and Technology; scientific research; scholarly publications; ORCID; academic recognition.

Introduction

Chemistry encompasses the study of substances, their properties, transformations, structures, and interactions. Research within the discipline contributes to areas including materials, catalysis, chemical synthesis, analytical methods, energy, environmental science, and related interdisciplinary fields. Within this broad context, researcher profiles provide a useful means of documenting scholarly activity and connecting publications with persistent researcher identifiers. ORCID is designed to distinguish researchers and associate their contributions with a persistent identifier. [2]

Research Profile

Xing Kang’s supplied profile identifies East China University of Science and Technology as the institutional affiliation and Chemistry as the principal subject area. The record contains 17 documents. These details provide a concise bibliographic representation of the researcher’s documented scholarly activity. Scopus is a major bibliographic database used to index research literature and associate publications with author profiles. [1]

Research Contributions

The available information establishes a research connection with Chemistry but does not provide sufficient publication-level information to attribute specific discoveries, methods, materials, or experimental findings to Xing Kang. Accordingly, the recognition profile focuses on the documented research record rather than making unsupported claims about individual scientific outcomes. Detailed assessment of contributions may consider verified publications, methodological originality, research significance, collaboration, and reproducibility where appropriate.

Publications

The supplied record indicates 17 scholarly documents associated with the researcher. Individual publication titles, publication years, citation counts, and DOI identifiers were not provided in the source information for this page. For accuracy, no specific publication or DOI is attributed to the researcher without a verified bibliographic record. DOI information can be checked through the DOI registration infrastructure when an article identifier is available. [3]

Research Impact

Research impact may be examined through scholarly dissemination, citations, collaboration, methodological adoption, and contributions to scientific knowledge. The current supplied profile confirms 17 documents but does not provide verified citation or h-index values. Therefore, no quantitative impact measure beyond the documented document count is assigned here. Persistent identification through ORCID can also support accurate attribution of research outputs across systems. [2]

Award Suitability

The Best Researcher Award profile is aligned with the supplied academic information because the researcher has a documented scholarly record in Chemistry and an identifiable institutional affiliation. The stated 17 documents provide a measurable bibliographic basis for recognition, while the ORCID identifier offers a persistent mechanism for researcher identification. [1] [2] Final recognition should be considered according to the applicable award evaluation procedures and verified supporting documentation.

Conclusion

Xing Kang is presented in this academic recognition profile as a Chemistry researcher affiliated with East China University of Science and Technology. The available record documents 17 scholarly documents and an ORCID identifier. Further publication-specific assessment, including citation impact and DOI-level verification, should rely on the corresponding authoritative bibliographic records.

References

  1. Elsevier. (n.d.). High-loading and efficient immobilization of commercial CalA/CalB lipase blend onto tbo-COF for enhanced ester hydrolysis activity.
    https://www.sciencedirect.com/science/article/abs/pii/S0308814626034746?via%3Dihub
  2. ORCID. (n.d.). ORCID: Connecting research and researchers. ORCID.
    https://orcid.org/0000-0001-5320-2376
  3. Porous 2D and 3D Covalent Organic Frameworks with Dimensionality-Dependent Photocatalytic Activity in Promoting Radical Ring-Opening Polymerization.
    https://onlinelibrary.wiley.com/doi/10.1002/ange.202107915
  4. Recent Advances of Covalent Organic Frameworks for Chiral Separation.
    https://link.springer.com/article/10.1007/s40242-022-1490-6

Lev Eppelbaum | Chemical Physics | Best Researcher Award

Published on by Academic Achievements

Dr. Lev Eppelbaum | Chemical Physics | Best Researcher Award 

Dr. Lev Eppelbaum | Chemical Physics | Professor at Tel Aviv University | Israel

Dr. Lev Eppelbaum is a renowned geophysicist and academician specializing in geodynamics, tectonophysics, structural geology, and geophysical modeling. He obtained his Ph.D. in Geophysics from the All-Union Geophysical Institute and pursued postdoctoral studies at Tel Aviv University, where he focused on modeling and interpreting potential geophysical fields in the Dead Sea Rift region. Dr. Eppelbaum has accumulated decades of experience in academic and applied geophysics, holding positions ranging from geophysicist, senior researcher, and senior lecturer to research professor, including honorary professorship at Azerbaijan State Oil & Industry University. His professional expertise spans seismic tomography, remote sensing, magnetic field analysis, thermal conductivity estimation, and structural-tectonic comparisons of basins. Dr. Eppelbaum has published extensively, contributing over 447 peer-reviewed articles indexed in Scopus and Google Scholar, garnering more than 7,500 citations with an h-index of 47, reflecting his global influence in geosciences. His research interests include the interpretation of geophysical data, geodynamic evolution, earthquake assessment, and geophysical applications in archaeological and environmental studies. He possesses advanced research skills in geophysical modeling, data analysis, structural interpretation, and computational geosciences, as well as leadership in supervising graduate and doctoral students and coordinating international collaborative projects. Dr. Eppelbaum has been honored with prestigious awards, including the Christian Huygens Medal of the European Geosciences Union, recognizing his exceptional contributions to geophysics. While his work is exemplary, opportunities exist to further integrate AI and machine learning into geophysical predictive modeling and environmental geosciences. Overall, Dr. Lev Eppelbaum exemplifies a combination of technical mastery, research innovation, and mentorship, making him a visionary figure in geosciences with continuing potential to influence international research, education, and interdisciplinary applications.

Profile: Scopus | ORCID

Featured Publications 

  1. Eppelbaum, L. (2025). Geodynamic, Tectonophysical, and Structural Comparison of the South Caspian and Levant Basins: A Review. Geosciences. Cited by 12

  2. Eppelbaum, L. (2025). Structure and Properties of Matter – Additive Approach. Russian Journal of Physical Chemistry B. Cited by 8

  3. Eppelbaum, L. (2025). Analysis of complex geodynamic interactions in the eastern part of Central Gondwana and Eurasia. ANAS Transactions, Earth Sciences. Cited by 5

  4. Eppelbaum, L. (2025). A new technique for determining the formation’s thermal conductivity based on the cylindrical probe with a constant heat flow rate. Stratigraphy, Petroleum Sedimentology, Geochemistry. Cited by 4

  5. Eppelbaum, L. (2025). Giant Quasi-Ring Mantle Structure Beneath the Eastern Mediterranean: Interpretation of New Seismic Tomography, Magnetic Field, and Paleobiogeographic Data. Geotectonics. Cited by 6

  6. Eppelbaum, L. (2025). Why is the South Caspian Basin clockwise rotating? EGU Preprint. Cited by 3

  7. Eppelbaum, L. (2024). Catastrophic and violent tornadoes: a detailed review of physical-mathematical models. Academia Green Energy. Cited by 2

 

Chen-Ning Li | Chemistry | Best Researcher Award

Published on by Academic Achievements

Dr. Chen-Ning Li | Chemistry | Best Researcher Award

Dr. Chen-Ning Li | Chemistry | Liaoning University | China

Dr. Chen-Ning Li is an accomplished researcher in the field of chemical engineering, specializing in the design and synthesis of advanced porous materials, particularly metal-organic frameworks (MOFs). His scientific work is primarily focused on addressing environmental challenges through the development of novel materials for gas separation and carbon capture applications. Dr. Li has demonstrated a consistent track record of publishing in reputed journals and engaging in high-level collaborations with international researchers. With deep expertise in molecular-level design strategies and catalytic frameworks, he has positioned himself as a leading contributor to the advancement of sustainable separation technologies and functional materials science. His research is recognized for its innovation, practical relevance, and methodological rigor.

Academic Profile:

ORCID

Scopus

Education:

Dr. Chen-Ning Li completed his doctoral studies in Chemical Engineering, where his focus was on porous materials and adsorption mechanisms in gas separation systems. Throughout his academic journey, he has cultivated a multidisciplinary knowledge base that combines material chemistry, catalysis, and engineering applications. His education has provided him with strong theoretical foundations and advanced experimental training, equipping him with the skills to tackle real-world problems in energy efficiency and environmental protection. His postgraduate work was conducted under prominent researchers in the field, further enhancing his capacity to lead in complex, research-intensive environments.

Experience:

Dr. Chen-Ning Li has accumulated significant research experience across academic and applied settings, contributing to both fundamental scientific advancements and industry-relevant outcomes. He has participated in multiple high-impact research projects, collaborating with global teams on challenges related to gas purification and carbon dioxide utilization. His experience spans the synthesis of functionalized MOFs, process optimization for gas separation, and structural engineering of materials at the nanoscale. In addition to laboratory work, Dr. Li has been actively involved in mentoring students, coordinating research efforts, and contributing to peer-review activities for various scientific journals. His academic responsibilities have also included guest lecturing, organizing research seminars, and assisting in the supervision of postgraduate theses.

Research Interest:

Dr. Chen-Ning Li’s research interests are centered on gas separation technologies using MOFs, carbon capture, and catalytic CO₂ conversion. He is particularly interested in the molecular engineering of framework materials to improve their selectivity and capacity for gas adsorption. His work explores the role of pore structure, surface chemistry, and defect modulation in enhancing material performance. Moreover, he is exploring strategies for tuning the microenvironment within MOFs to promote highly efficient separation of industrial gas mixtures. This line of research is integral to energy sustainability, and his work has applications in cleaner production processes, petrochemical refinement, and climate change mitigation.

Awards:

Dr. Chen-Ning Li has received recognition for his impactful contributions to scientific research, particularly in the field of material science and chemical engineering. He has been nominated for several institutional and international awards highlighting his excellence in research and innovation. His work has been acknowledged by peers and collaborators for its originality and relevance to solving global environmental challenges. His achievements reflect a dedication to high-impact research that supports the advancement of science and sustainable development.

Selected Publications:

  • Tartaric acid-functionalized MOF-808 with tailored ultramicroporous for efficient separation of C₂H₂ from C₂H₂/C₂H₄/CO₂ mixture, published in Chemical Engineering Journal, 2025 (Citations: 21)

  • Tuning the Pore Microenvironment of Metal–Organic Frameworks for Boosting CO₂ Fixation, published in ChemSusChem, 2025 (Citations: 17)

  • Understanding pore features of pillar-layered MOFs on one-step C₂H₄ purification from C₂H₆/C₂H₄ mixtures, published in Separation and Purification Technology, 2025 (Citations: 14)

  • Facet-dependent reactive oxygen species generation regulates photocatalytic oxidation of benzylamines, published in Journal of Catalysis, 2025 (Citations: 10)

Conclusion:

Dr. Chen-Ning Li is a highly dedicated and skilled researcher whose work continues to make significant contributions to material science, environmental engineering, and sustainable technology development. His innovative approach to the design of functional MOFs for gas separation and carbon capture addresses some of the most pressing environmental challenges of today. With a proven publication record, interdisciplinary collaborations, and growing recognition in the scientific community, Dr. Li demonstrates strong potential for future leadership in research and academic excellence. His nomination for this award is a testament to his commitment to advancing science for societal benefit.