Zhan Deng

3.6k total citations
24 papers, 1.6k citations indexed

About

Zhan Deng is a scholar working on Computational Theory and Mathematics, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Zhan Deng has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 12 papers in Molecular Biology and 7 papers in Management Science and Operations Research. Recurrent topics in Zhan Deng's work include Computational Drug Discovery Methods (11 papers), Multi-Criteria Decision Making (7 papers) and Microbial Natural Products and Biosynthesis (5 papers). Zhan Deng is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Multi-Criteria Decision Making (7 papers) and Microbial Natural Products and Biosynthesis (5 papers). Zhan Deng collaborates with scholars based in China, United States and Switzerland. Zhan Deng's co-authors include Claudio Chuaqui, Juswinder Singh, Jianyu Wang, Jeremy L. Jenkins, Meir Glick, John W. Davies, P. Andrew Karplus, Andreas Bender, James H. Nettles and Bette Jo Brown and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and IEEE Access.

In The Last Decade

Zhan Deng

23 papers receiving 1.5k citations

Peers

Zhan Deng

CTM

PHARM

Dávid Bajusz Hungary

Sajjad Gharaghani Iran

Martin Vogt Germany

Uli Fechner Germany

Niklas Blomberg Sweden

Haichun Liu China

Heng Luo China

Neil Swainston United Kingdom

Pierre Acklin Switzerland

Dávid Bajusz Hungary

Zhan Deng

1.1k ×1.1

1.1k ×1.2

CTM

383 ×1.7

177 ×0.8

PHARM

250 ×1.7

Citations per year, relative to Zhan Deng Zhan Deng (= 1×) peers Dávid Bajusz

Countries citing papers authored by Zhan Deng

Since Specialization

Citations

This map shows the geographic impact of Zhan Deng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan Deng more than expected).

Fields of papers citing papers by Zhan Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhan Deng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhan Deng. The network helps show where Zhan Deng may publish in the future.

Co-authorship network of co-authors of Zhan Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Deng. A scholar is included among the top collaborators of Zhan Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhan Deng. Zhan Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Jianyu, et al.. (2022). HFGLDS: Hesitant Fuzzy Gained and Lost Dominance Score Method Based on Hesitant Fuzzy Utility Function for Multi-Criteria Decision Making. IEEE Access. 10. 20407–20419. 8 indexed citations

Deng, Zhan & Jianyu Wang. (2021). Evidential Fermatean fuzzy multicriteria decision‐making based on Fermatean fuzzy entropy. International Journal of Intelligent Systems. 36(10). 5866–5886. 38 indexed citations

Deng, Zhan & Jianyu Wang. (2021). New distance measure for Fermatean fuzzy sets and its application. International Journal of Intelligent Systems. 37(3). 1903–1930. 66 indexed citations

Deng, Zhan & Jianyu Wang. (2021). A new evidential similarity measurement based on Tanimoto measure and its application in multi-sensor data fusion. Engineering Applications of Artificial Intelligence. 104. 104380–104380. 17 indexed citations

Deng, Zhan & Jianyu Wang. (2021). Measuring total uncertainty in evidence theory. International Journal of Intelligent Systems. 36(4). 1721–1745. 20 indexed citations

Deng, Zhan & Jianyu Wang. (2020). Multi-Sensor Data Fusion Based on Improved Analytic Hierarchy Process. IEEE Access. 8. 9875–9895. 14 indexed citations

Deng, Zhan & Jianyu Wang. (2020). A novel decision probability transformation method based on belief interval. Knowledge-Based Systems. 208. 106427–106427. 8 indexed citations

Deng, Zhan & Jianyu Wang. (2020). Conflicting evidence combination method based on evidence distance and belief entropy. 28. 1–6.

Sukuru, Sai Chetan K., Florian Nigsch, Jean Quancard, et al.. (2010). A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space. Protein Science. 19(11). 2096–2109. 5 indexed citations

10.

Bender, Andreas, Dejan Bojanic, John Davies, et al.. (2008). Which aspects of HTS are empirically correlated with downstream success?. PubMed. 11(3). 327–37. 34 indexed citations

11.

Nettles, James H., Jeremy L. Jenkins, Chris Williams, et al.. (2007). Flexible 3D pharmacophores as descriptors of dynamic biological space. Journal of Molecular Graphics and Modelling. 26(3). 622–633. 27 indexed citations

12.

Crisman, Thomas J., Jeremy L. Jenkins, Christian N. Parker, et al.. (2007). “Plate Cherry Picking”: A Novel Semi-Sequential Screening Paradigm for Cheaper, Faster, Information-Rich Compound Selection. SLAS DISCOVERY. 12(3). 320–327. 30 indexed citations

13.

Sun, Dongyu, Claudio Chuaqui, Zhan Deng, et al.. (2006). A Kinase‐focused Compound Collection: Compilation and Screening Strategy. Chemical Biology & Drug Design. 67(6). 385–394. 14 indexed citations

14.

Bender, Andreas, Jeremy L. Jenkins, Meir Glick, et al.. (2006). “Bayes Affinity Fingerprints” Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?. Journal of Chemical Information and Modeling. 46(6). 2445–2456. 79 indexed citations

15.

Nettles, James H., Jeremy L. Jenkins, Andreas Bender, et al.. (2006). Bridging Chemical and Biological Space: “Target Fishing” Using 2D and 3D Molecular Descriptors. Journal of Medicinal Chemistry. 49(23). 6802–6810. 140 indexed citations

16.

Singh, Juswinder, et al.. (2005). Structural Interaction Fingerprints: A New Approach to Organizing, Mining, Analyzing, and Designing Protein–Small Molecule Complexes. Chemical Biology & Drug Design. 67(1). 5–12. 57 indexed citations

17.

Deng, Zhan, Claudio Chuaqui, & Juswinder Singh. (2003). Structural Interaction Fingerprint (SIFt): A Novel Method for Analyzing Three-Dimensional Protein−Ligand Binding Interactions. Journal of Medicinal Chemistry. 47(2). 337–344. 434 indexed citations

18.

Karplus, P. Andrew, Zhan Deng, Alessandro Aliverti, et al.. (1999). A productive NADP+ binding mode of ferredoxin-NADP + reductase revealed by protein engineering and crystallographic studies.. Nature Structural Biology. 6(9). 847–853. 173 indexed citations

19.

Aliverti, Alessandro, et al.. (1998). Probing the Function of the Invariant Glutamyl Residue 312 in Spinach Ferredoxin-NADP+ Reductase. Journal of Biological Chemistry. 273(51). 34008–34015. 48 indexed citations

20.

Brown, Bette Jo, Zhan Deng, P. Andrew Karplus, & Vincent Massey. (1998). On the Active Site of Old Yellow Enzyme. Journal of Biological Chemistry. 273(49). 32753–32762. 113 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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