Zhan Deng

3.7k citations
24 papers · 1.6k · h-index 17

Impact in

Papers in

Zhan Deng

23 papers receiving 1.6k citations

Peers

Zhan Deng
Comparison fields: 5 of 128
  • Computational Theory and Mathematics 859
  • Molecular Biology 961
  • Pharmacology 207
  • Management Science and Operations Research 129
  • Pharmacology 75
Replace Dávid Bajusz with:
Dávid Bajusz Hungary
Martin Vogt Germany
Niklas Blomberg Sweden
Neil Swainston United Kingdom
Sajjad Gharaghani Iran
Garry Pairaudeau United Kingdom
Massimo Baroni Italy
Dragos Horvath France
Sven Sahle Germany
Zhan Deng relative to Dávid Bajusz Hungary Dávid Bajusz's profile →
Citations per field
00.5×3.8×
Dávid Bajusz · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Zhan Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhan Deng Line = papers co-authored together Zhan Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003440
2 1999173
3 2006143
4 1998113
5 2012111
6 200679
7 200468
8 202167
9 200558
10 200554
11 199849
12 202141
13
Which aspects of HTS are empirically correlated with downstream success?
200834
14 200730
15 200727
16 202122
17 202117
18 202016
19 200614
20 202014

About Zhan Deng

Zhan Deng is a scholar working on Computational Theory and Mathematics, Molecular Biology, Management Science and Operations Research, Pharmacology and Control and Systems Engineering, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Multi-Criteria Decision Making (7 papers), Microbial Natural Products and Biosynthesis (5 papers), Chemical Synthesis and Analysis (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Rough Sets and Fuzzy Logic (3 papers), Fuzzy Systems and Optimization (2 papers) and Optimization and Mathematical Programming (2 papers). The work is most often cited by research in Computational Theory and Mathematics (859 citations), Molecular Biology (961 citations), Pharmacology (207 citations), Management Science and Operations Research (129 citations) and Pharmacology (75 citations). Zhan Deng has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Juswinder Singh, Claudio Chuaqui, Jianyu Wang, Meir Glick, Jeremy L. Jenkins, John W. Davies, P. Andrew Karplus, Andreas Bender, James H. Nettles and Vincent Massey. Their work appears in journals such as Journal of Medicinal Chemistry, International Journal of Intelligent Systems, Journal of Biological Chemistry, IEEE Access and Engineering Applications of Artificial Intelligence.

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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