Shaojun Wang

163 papers receiving 3.0k citations

Peers

Shaojun Wang
Comparison fields: 5 of 164
  • Management Information Systems 596
  • Industrial and Manufacturing Engineering 416
  • Strategy and Management 497
  • Artificial Intelligence 858
  • Inorganic Chemistry 279
Replace Vicente Botti with:
Vicente Botti Spain
Juanjuan Li China
Jingjing Chen China
Minqiang Li China
Junliang Chen China
Morten Lind Denmark
Xiaotong Zhang China
Xiangping Chen China
Oliver Kopp Germany
Xudong Zhang China
Shaojun Wang relative to Vicente Botti Spain Vicente Botti's profile →
Citations per field
00.5×2×4×6×7.9×
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Citations per year

Countries citing papers authored by Shaojun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004264
2 2000218
3 2000206
4 2004200
5 2006177
6 2003124
7 2000124
8 200398
9 201877
10 202372
11 200871
12 202271
13 200465
14 201562
15 200754
16 200245
17 201843
18 202140
19 201540
20 201738

About Shaojun Wang

Shaojun Wang is a scholar working on Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, having authored 177 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Natural Language Processing Techniques (23 papers), Speech Recognition and Synthesis (10 papers), Remote-Sensing Image Classification (9 papers), Zeolite Catalysis and Synthesis (8 papers), Fault Detection and Control Systems (7 papers), Remote Sensing and Land Use (7 papers) and Advanced machining processes and optimization (7 papers). The work is most often cited by research in Management Information Systems (596 citations), Industrial and Manufacturing Engineering (416 citations), Strategy and Management (497 citations), Artificial Intelligence (858 citations) and Inorganic Chemistry (279 citations). Shaojun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bhaba R. Sarker, Dale Schuurmans, Fuchun Peng, Yu Peng, Datong Liu, Ning Ma, Philip H. W. Leong, Vlado Kešelj, Fuxia Sun and Zongxuan Jiang. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Microelectronics Reliability, IEEE Transactions on Instrumentation and Measurement, European Journal of Operational Research and The Journal of Engineering.

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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