Ming Wen

2.9k citations
50 papers · 2.0k indexed · 2 hit papers · h-index 19
Topics
Spectroscopy and Chemometric Analyses (7 papers)Computational Drug Discovery Methods (6 papers)Advanced Chemical Sensor Technologies (6 papers)

In The Last Decade

Ming Wen

43 papers receiving 2.0k citations

Hit Papers

Deep-Learning-Based Drug–Target Interaction Prediction201620262019202220172016100200300400

Peers

Ming Wen
Comparison fields: 5 of 141
  • Molecular Biology 1.0k
  • Computational Theory and Mathematics 621
  • Cancer Research 298
  • Plant Science 243
  • Materials Chemistry 237
Replace Yang Cao with:
Yang Cao China
Daniël J. Vis Netherlands
Mohammad Goodarzi Belgium
Leming Shi China
Hongbin Yang China
Jennifer Fostel United States
Qing‐Song Xu China
Kris Laukens Belgium
Xiujun Zhang China
Ming Wen relative to Yang Cao China Yang Cao's profile →
Citations per field
00.5×1.5×1.8×
Yang Cao · 1×
Citations per year

Countries citing papers authored by Ming Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wen. A scholar is included among the top collaborators of Ming Wen 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 Ming Wen. Ming Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
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5 2
6 4
7 2
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9 1
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11 19
12 1
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15 12
16 6
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Effects of altitude on rice quality of Yuxiang 203.
1
18 20
19 430
20
Isolation and identification of the porcine reproductive and respiratory syndrome virus (PRRSV) from Culex tritaeniorhynchus (Diptera: Culicidae) in pig farms.
1

About Ming Wen

Ming Wen is a scholar working on General Energy, Analytical Chemistry and Soil Science, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Computational Drug Discovery Methods (6 papers) and Advanced Chemical Sensor Technologies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (621 citations), Biophysics (149 citations) and Analytical Chemistry (193 citations). Ming Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongmei Lü, Zhimin Zhang, Suhua Shi, Tian Tang, Yang Shen, Yong‐Huan Yun, Dongsheng Cao, Ruihan Yang, Jie Dong and Aiping Lü. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Analytical Chemistry.

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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