Haijun Wang

22 papers receiving 386 citations

Peers

Haijun Wang
Comparison fields: 5 of 91
  • Software 77
  • Environmental Chemistry 97
  • Management Information Systems 72
  • Strategy and Management 87
  • Oceanography 64
Replace Tuuli Parviainen with:
Tuuli Parviainen Finland
W.J. Kennedy United States
Liu Chang China
Sandro Bimonte France
Heng Wang China
M. M. Mahbubul Syeed Bangladesh
Roberto Palmieri United States
Michael Ströbel United States
Jie Liang China
Haijun Wang relative to Tuuli Parviainen Finland Tuuli Parviainen's profile →
Citations per field
00.5×10×15×19.3×
Tuuli Parviainen · 1×
Citations per year

Countries citing papers authored by Haijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021137
2 201785
3 202077
4 201818
5 202217
6 202010
7 20078
8 20247
9 20216
10 20185
11 20234
12 20224
13 20233
14 20053
15 20182
16 20221
17 20251
18
Development of CMMB in the Context of Fusion of 3 Networks
20111
19 20201
20 20211

About Haijun Wang

Haijun Wang is a scholar working on Management Information Systems, Strategy and Management, Marketing, Computational Mechanics and Aerospace Engineering, having authored 23 papers that have together received 393 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Sustainable Supply Chain Management (4 papers), Software Testing and Debugging Techniques (2 papers), Consumer Market Behavior and Pricing (2 papers), Heat transfer and supercritical fluids (2 papers), Auction Theory and Applications (2 papers), Capital Investment and Risk Analysis (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Software (77 citations), Environmental Chemistry (97 citations), Management Information Systems (72 citations), Strategy and Management (87 citations) and Oceanography (64 citations). Haijun Wang has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Jianwen Luo, Huixiao Yang, Chi Xu, Hongtao Duan, Wenxia Zhang, Shingirai S. Nangombe, Ping Xie, Erik Jeppesen, Ying Liu and Jinge Ma. Their work appears in journals such as International Journal of Heat and Mass Transfer, Chemical Engineering Science, International Transactions in Operational Research, International Journal of Production Economics and European Journal of Operational Research.

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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