Junwei Pan

1.0k citations
42 papers · 530 · h-index 15

Impact in

Papers in

Junwei Pan

37 papers receiving 521 citations

Peers

Junwei Pan
Comparison fields: 5 of 104
  • Marketing 47
  • Management Science and Operations Research 57
  • Information Systems 91
  • Cancer Research 45
  • Artificial Intelligence 94
Replace Qianru Wang with:
Qianru Wang China
Lixin Liu China
Chenrui Zhang China
Nathan Liu United States
Masahiro Sato Japan
Ziyue Guo China
Yibo Sun China
Zhibo Xiao China
Zixuan Li China
Junwei Pan relative to Qianru Wang China Qianru Wang's profile →
Citations per field
00.5×4.7×
Qianru Wang · 1×
Citations per year

Countries citing papers authored by Junwei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 202136
3 202335
4 202034
5 202332
6 201829
7 201428
8 201723
9 202421
10 201520
11 202219
12 202319
13 199917
14 202416
15 202115
16 202114
17 202212
18 201412
19 202312
20 202312

About Junwei Pan

Junwei Pan is a scholar working on Mechanical Engineering, Information Systems, Management Science and Operations Research, Civil and Structural Engineering and Artificial Intelligence, having authored 42 papers that have together received 530 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Cellular and Composite Structures (5 papers), Auction Theory and Applications (4 papers), Advanced Bandit Algorithms Research (4 papers), Consumer Market Behavior and Pricing (4 papers), Automotive and Human Injury Biomechanics (3 papers), Cancer-related molecular mechanisms research (3 papers) and Transportation Safety and Impact Analysis (3 papers). The work is most often cited by research in Marketing (47 citations), Management Science and Operations Research (57 citations), Information Systems (91 citations), Cancer Research (45 citations) and Artificial Intelligence (94 citations). Junwei Pan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jianguo Cai, Meng Li, Qian Zhang, Guang Lin, Wei Deng, Tian Zhou, Dan Wang, Deguang Kong, Frank J. McLafferty and Dageng Huang. Their work appears in journals such as Thin-Walled Structures, European Spine Journal, Biochemical and Biophysical Research Communications, Clinical Neurology and Neurosurgery and The Journal of Chemical Physics.

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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