Junwei Luo

68 papers receiving 1.3k citations

Junwei Luo's Hit Papers

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm 2016 · 377 citations
3770+3+6Years since publication100200300

Peers

Junwei Luo
Comparison fields: 5 of 120
  • Computational Theory and Mathematics 463
  • Computer Vision and Pattern Recognition 228
  • Molecular Biology 630
  • Artificial Intelligence 264
  • Ophthalmology 52
Replace Monica Agrawal with:
Monica Agrawal India
K. V. Prema India
Jonatan Taminau Belgium
Yaser Daanial Khan Pakistan
Weihua Li China
Tianyi Zang China
Haixia Long China
Suresh Dara India
Andreas Karwath United Kingdom
Junwei Luo relative to Monica Agrawal India Monica Agrawal's profile →
Citations per field
00.5×5×10×16×
Monica Agrawal · 1×
Citations per year

Countries citing papers authored by Junwei Luo

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
Hit paper breakdown →
2016377
2 2020136
3 202069
4 201860
5 202443
6 202340
7 202137
8 201936
9 202230
10 202329
11 201929
12 202128
13 201628
14 202325
15 201423
16 201522
17 202220
18 201919
19 201619
20 202116

About Junwei Luo

Junwei Luo is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Information Systems, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Computational Drug Discovery Methods (12 papers), RNA and protein synthesis mechanisms (8 papers), Digital Media Forensic Detection (8 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (5 papers), Bioinformatics and Genomic Networks (5 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Computational Theory and Mathematics (463 citations), Computer Vision and Pattern Recognition (228 citations), Molecular Biology (630 citations), Artificial Intelligence (264 citations) and Ophthalmology (52 citations). Junwei Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huimin Luo, Jianxin Wang, Fang‐Xiang Wu, Yi Feng Pan, Chaokun Yan, Xiaoqing Peng, Min Li, Jianlin Wang, Zhanqiang Huo and Jing Wang. Their work appears in journals such as BMC Bioinformatics, Frontiers in Genetics, IEEE Transactions on Computational Biology and Bioinformatics, Briefings in Bioinformatics and Bioinformatics.

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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