Hongjun Wang

1.8k citations
170 papers · 1.2k · h-index 17

Impact in

Papers in

Hongjun Wang

146 papers receiving 1.2k citations

Peers

Hongjun Wang
Comparison fields: 5 of 116
  • Control and Systems Engineering 310
  • Computer Vision and Pattern Recognition 274
  • Artificial Intelligence 322
  • Management Science and Operations Research 98
  • Transportation 46
Replace Zaer S. Abo‐Hammour with:
Zaer S. Abo‐Hammour Jordan
Krishna Pratap Singh India
Jiawei Zhang China
Fang Tang China
Madana Srinivas India
Jun Tang China
Qi Wu China
Yanjun Li China
Babak E. Cohanim United States
Hongjun Wang relative to Zaer S. Abo‐Hammour Jordan Zaer S. Abo‐Hammour's profile →
Citations per field
00.5×3.7×
Zaer S. Abo‐Hammour · 1×
Citations per year

Countries citing papers authored by Hongjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 200294
3 201177
4 201865
5 202059
6 201056
7 202255
8 201836
9 201032
10 201731
11 202227
12 202326
13 201924
14 201124
15 201823
16 201422
17 201218
18 202116
19 202216
20 201714

About Hongjun Wang

Hongjun Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 170 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (22 papers), Advanced Algorithms and Applications (17 papers), Fault Detection and Control Systems (16 papers), Advanced Sensor and Control Systems (13 papers), Industrial Technology and Control Systems (11 papers), Advanced machining processes and optimization (11 papers), Gear and Bearing Dynamics Analysis (9 papers) and Engineering Diagnostics and Reliability (8 papers). The work is most often cited by research in Control and Systems Engineering (310 citations), Computer Vision and Pattern Recognition (274 citations), Artificial Intelligence (322 citations), Management Science and Operations Research (98 citations) and Transportation (46 citations). Hongjun Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yongjian Ji, Liang Lin, Guanbin Li, Wanli Ouyang, Lingbo Liu, Arindam Banerjee, Hanhuai Shan, Rui Lin, Guiwu Wei and Shucong Liu. Their work appears in journals such as Sensors, IEEE Transactions on Vehicular Technology, International Journal of Computational Intelligence Systems, The Journal of Engineering and Electronics.

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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