Jianjun Tan

3.0k citations
133 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

Jianjun Tan

123 papers receiving 2.1k citations

Jianjun Tan's Hit Papers

From machine learning to deep learning: progress in machine intelligence for rational drug discovery 2017 · 499 citations
4990+3+6Years since publication100200300400

Peers

Jianjun Tan
Comparison fields: 5 of 154
  • Virology 146
  • Computational Theory and Mathematics 346
  • Environmental Engineering 227
  • Health Informatics 21
  • Infectious Diseases 176
Replace Jigar Patel with:
Jigar Patel United States
Mehmet Gönen Türkiye
Sung‐Sau So United States
Zheng Rong Yang United Kingdom
Min Zhang China
Dilber Uzun Ozsahin Cyprus
David Craft United States
Arthur Nádas United States
Yingtao Zhang China
Lars St hle Sweden
Jianjun Tan relative to Jigar Patel United States Jigar Patel's profile →
Citations per field
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Jigar Patel · 1×
Citations per year

Countries citing papers authored by Jianjun Tan

Since Specialization
Citations

This map shows the geographic impact of Jianjun Tan'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 Jianjun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Tan more than expected).

Fields of papers citing papers by Jianjun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jianjun Tan. 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 Jianjun Tan. The network helps show where Jianjun Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Jianjun Tan, 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 Jianjun Tan Line = papers co-authored together Jianjun Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
Hit paper breakdown →
2017499
2 2011167
3 1998153
4 200978
5 199776
6 201052
7 202050
8 202249
9 201549
10 200634
11 201028
12 202128
13 201927
14 201725
15 202124
16 202024
17 200623
18 201922
19 201022
20 201922

About Jianjun Tan

Jianjun Tan is a scholar working on Molecular Biology, Infectious Diseases, Mechanical Engineering, Virology and Control and Systems Engineering, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (26 papers), Gear and Bearing Dynamics Analysis (22 papers), HIV Research and Treatment (22 papers), RNA and protein synthesis mechanisms (13 papers), Tribology and Lubrication Engineering (12 papers), Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers) and Mechanical Engineering and Vibrations Research (9 papers). The work is most often cited by research in Virology (146 citations), Computational Theory and Mathematics (346 citations), Environmental Engineering (227 citations), Health Informatics (21 citations) and Infectious Diseases (176 citations). Jianjun Tan has collaborated with scholars based in China, United States and France. Frequent co-authors include Dan Han, Lu Zhang, Hao Zhu, M. R. Melloch, James A. Cooper, Caichao Zhu, Zhifeng Wu, Chaosheng Song, Cun Xin Wang and Wei Zu Chen. Their work appears in journals such as Renewable Energy, Drug Discovery Today, Mechanism and Machine Theory, Ocean Engineering and International Journal of Mechanical Sciences.

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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