Junxing Wang

2.1k citations
69 papers · 1.4k · h-index 18

Impact in

Papers in

Junxing Wang

62 papers receiving 1.4k citations

Peers

Junxing Wang
Comparison fields: 5 of 135
  • Management Science and Operations Research 431
  • Economics and Econometrics 488
  • Toxicology 41
  • General Decision Sciences 20
  • Computational Theory and Mathematics 161
Replace Min Dai with:
Min Dai China
Zhong-Liang Zhang China
Ming−Yen Cheng Taiwan
Xiaoping Zheng China
M. Sundararajan India
Paul J. Brewer United Kingdom
Yijia Zhang China
Kun Soo Chang South Korea
Wang Chun China
Soumik Mandal India
Junxing Wang relative to Min Dai China Min Dai's profile →
Citations per field
00.5×5×10×15×20.5×
Min Dai · 1×
Citations per year

Countries citing papers authored by Junxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016188
2 2019172
3 2001143
4 201484
5 201778
6 201776
7 201866
8 201652
9 201751
10 202147
11 201939
12 202030
13 201929
14 201824
15 201823
16 201821
17 201720
18 201919
19 202016
20 201715

About Junxing Wang

Junxing Wang is a scholar working on Civil and Structural Engineering, Ecology, Organic Chemistry, Safety, Risk, Reliability and Quality and Materials Chemistry, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hydraulic flow and structures (12 papers), Dam Engineering and Safety (9 papers), Hydrology and Sediment Transport Processes (9 papers), Geotechnical Engineering and Analysis (6 papers), Game Theory and Voting Systems (6 papers), Sulfur-Based Synthesis Techniques (6 papers), Auction Theory and Applications (6 papers) and Organoselenium and organotellurium chemistry (5 papers). The work is most often cited by research in Management Science and Operations Research (431 citations), Economics and Econometrics (488 citations), Toxicology (41 citations), General Decision Sciences (20 citations) and Computational Theory and Mathematics (161 citations). Junxing Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ariel D. Procaccia, David Kurokawa, Ioannis Caragiannis, Nisarg Shah, Hervé Moulin, Jianguo Liu, Yicheng Wu, Peizhen Fu, Chuangtian Chen and Mingjun Li. Their work appears in journals such as Water, Computers and Geotechnics, SIAM Journal on Computing, Coral Reefs and Journal of Combinatorial Optimization.

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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