Xiaobin Wang

418 citations
25 papers · 272 · h-index 11

Impact in

Papers in

Xiaobin Wang

24 papers receiving 264 citations

Peers

Xiaobin Wang
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 57
  • Artificial Intelligence 84
  • Electrical and Electronic Engineering 91
  • Cellular and Molecular Neuroscience 26
  • Signal Processing 14
Replace Yong Cao with:
Yong Cao China
Dehua Chen China
Hao Hao China
Prithwineel Paul India
Pingping Zhang China
Jingwei Zhang China
Sayed Masoud Sayedi Iran
Yukun Ding United States
Hang Yan China
Xiaobin Wang relative to Yong Cao China Yong Cao's profile →
Citations per field
00.5×1.5×
Yong Cao · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202250
2 201132
3 201327
4 202224
5 201022
6 202415
7 202412
8 202312
9 201911
10 201011
11 202311
12 20198
13 20237
14 20236
15 20245
16 20115
17 20243
18 20163
19 20002
20 20162

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 25 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Topic Modeling (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Memory and Neural Computing (3 papers), Natural Language Processing Techniques (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (57 citations), Artificial Intelligence (84 citations), Electrical and Electronic Engineering (91 citations), Cellular and Molecular Neuroscience (26 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, Guangwei Xu, Ye Yan, Pengjun Xie, Miao Hu, Yongliang Shen, Robinson E. Pino and Zeqi Tan. Their work appears in journals such as Review of Scientific Instruments, Journal of Physics D Applied Physics, Pattern Recognition Letters, Sensors and Transactions of Nonferrous Metals Society of China.

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.

Explore authors with similar magnitude of impact