Kunfeng Wang

5.7k citations
108 papers · 4.1k indexed · 2 hit papers · h-index 27

Impact in

Papers in

Kunfeng Wang

97 papers receiving 4.0k citations

Hit Papers

Generative adversarial networks: introduction and outlook 2017 · 508 citations
50820112026201620214008001.2k

Peers

Kunfeng Wang
Comparison fields: 5 of 151
  • Transportation 634
  • Building and Construction 1.1k
  • Computer Vision and Pattern Recognition 1.6k
  • Automotive Engineering 805
  • Media Technology 401
Replace Junping Zhang with:
Junping Zhang China
Chen Feng China
Nan Cheng China
Zhaolong Ning China
Huadóng Ma China
Yanmin Zhu China
Lingxi Li United States
Giovanni Pau Italy
Liuqing Yang United States
Gerhard P. Hancke South Africa
Kunfeng Wang relative to Junping Zhang China Junping Zhang's profile →
Citations per field
00.5×2.6×
Junping Zhang · 1×
Citations per year

Countries citing papers authored by Kunfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kunfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20250
5 20242
6 20241
7 20241
8 20246
9 20244
10 20240
11 20232
12 20237
13 20231
14 202211
15 202123
16 202017
17 201947
18 201826
19 201790
20
Generative adversarial networks: introduction and outlook
Hit paper breakdown →
2017508

About Kunfeng Wang

Kunfeng Wang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Media Technology, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 108 papers that have together received 4.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (33 papers), Advanced Neural Network Applications (30 papers), Autonomous Vehicle Technology and Safety (19 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced MEMS and NEMS Technologies (10 papers), Mechanical and Optical Resonators (10 papers), Advanced Vision and Imaging (10 papers) and Vehicle License Plate Recognition (9 papers). The work is most often cited by research in Transportation (634 citations), Building and Construction (1.1k citations), Computer Vision and Pattern Recognition (1.6k citations), Automotive Engineering (805 citations) and Media Technology (401 citations). Kunfeng Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fei‐Yue Wang, Xin Xu, Junping Zhang, Cheng Chen, Wei-Hua Lin, Chao Gou, Yilun Lin, Xinhu Zheng, Yanjie Duan and Yonglin Tian. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Expert Systems with Applications, Neurocomputing, IEEE Intelligent Systems and IEEE/CAA Journal of Automatica Sinica.

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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