Xiaobin Wang

407 citations
23 papers · 243 · h-index 11

Impact in

Papers in

Xiaobin Wang

22 papers receiving 231 citations

Peers

Xiaobin Wang
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 52
  • Artificial Intelligence 73
  • Electrical and Electronic Engineering 82
  • Industrial and Manufacturing Engineering 13
  • Signal Processing 14
Replace Hao Hao with:
Hao Hao China
Sayed Masoud Sayedi Iran
Pingping Zhang China
Prithwineel Paul India
Bram de Wilde Netherlands
Yukun Ding United States
Junseok Kim South Korea
Jingwei Zhang China
Taiki Kimura Japan
P. Ramana Reddy India
Xiaobin Wang relative to Hao Hao China Hao Hao's profile →
Citations per field
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Hao Hao · 1×
Citations per year

Countries citing papers authored by Xiaobin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobin 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 Xiaobin Wang Line = papers co-authored together Xiaobin 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 202243
2 201129
3 201327
4 202222
5 201019
6 202414
7 202312
8 202410
9 202310
10 201010
11 201910
12 20198
13 20236
14 20245
15 20234
16 20114
17 20163
18 20242
19 20002
20 20141

About Xiaobin Wang

Xiaobin Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Mechanics, having authored 23 papers that have together received 243 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Topic Modeling (3 papers), Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (52 citations), Artificial Intelligence (73 citations), Electrical and Electronic Engineering (82 citations), Industrial and Manufacturing Engineering (13 citations) and Signal Processing (14 citations). Xiaobin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yiran Chen, Dekang Zhu, Hai Li, Ye Yan, Guangwei Xu, Robinson E. Pino, Miao Hu, Pengjun Xie, Zeqi Tan and Weiming Lü. Their work appears in journals such as Scientific Reports, International Journal of Computational Intelligence Systems, Computational Intelligence and Neuroscience, Transactions of Nonferrous Metals Society of China and IEEE Transactions on Magnetics.

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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