Lei Duan

1.4k total citations
99 papers, 896 citations indexed

About

Lei Duan is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Lei Duan has authored 99 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 28 papers in Molecular Biology and 20 papers in Information Systems. Recurrent topics in Lei Duan's work include Bioinformatics and Genomic Networks (11 papers), Computational Drug Discovery Methods (9 papers) and Machine Learning in Bioinformatics (8 papers). Lei Duan is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Computational Drug Discovery Methods (9 papers) and Machine Learning in Bioinformatics (8 papers). Lei Duan collaborates with scholars based in China, United States and United Kingdom. Lei Duan's co-authors include Fang Yang, Ning Gu, Juan Jin, Dong Liu, Qinxin Wang, Ke Hu, Yang Li, Changjie Tang, Wubiao Duan and Pui‐Chi Lo and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Lei Duan

86 papers receiving 863 citations

Peers

Lei Duan
Comparison fields: 5 of 141
  • Biomedical Engineering 243
  • Artificial Intelligence 225
  • Molecular Biology 191
  • Materials Chemistry 141
  • Information Systems 121
Junxin Zhang China
Xuan Liu China
Huanjing Wang United States
Huiyan Wang China
Yang Hu China
Xiaolu Zhang China
Shengli Liu China
Yun Liu China
Zhenfei Zhang China
Junxin Zhang China View profile →
Citations per field, relative to Lei Duan
Lei Duan · 1×
Citations per year, relative to Lei Duan
Lei Duan · 1×

Countries citing papers authored by Lei Duan

Since Specialization
Citations

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

Fields of papers citing papers by Lei Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Duan. A scholar is included among the top collaborators of Lei Duan 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 Lei Duan. Lei Duan 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
# Work Indexed citations
1 3
2 1
3 5
4 17
5 5
6 0
7 4
8 15
9 20
10 1
11 3
12 4
13 21
14 9
15
Crowdsourced semantic matching of multi-label annotations
6
16
Technology of New Wide-Temperature-Range Pressure Sensor
1
17 5
18
Impact of pH on Dissolution and Precipitation of Mineral in Mixing Solution
1
19
Clustering-ranking selection method for evolutionary algorithm
0
20
Research on I/F Segmentation in Continuous Mandarin Speech
2

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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