Xiaobo Wang

2.0k citations
41 papers · 983 · h-index 15

Impact in

    • Face recognition and analysis
    • Face and Expression Recognition
    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Biometric Identification and Security

Papers in

Xiaobo Wang

35 papers receiving 937 citations

Peers

Xiaobo Wang
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 532
  • Signal Processing 239
  • Artificial Intelligence 248
  • Software 24
  • Information Systems 103
Replace Lamiaa A. Elrefaei with:
Lamiaa A. Elrefaei Egypt
Yuanning Liu China
Harith Al-Sahaf New Zealand
Jucheng Yang China
Minghao Yang China
Francesc J. Ferri Spain
Anjali Agarwal Canada
Feng Xue China
Xiaobo Wang relative to Lamiaa A. Elrefaei Egypt Lamiaa A. Elrefaei's profile →
Citations per field
00.5×2.7×
Lamiaa A. Elrefaei · 1×
Citations per year

Countries citing papers authored by Xiaobo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019129
2 2020113
3 2014104
4 2019100
5 201977
6 201877
7 202048
8 201741
9 202230
10 201830
11 202030
12 200926
13 202325
14 201118
15 202216
16 201713
17 202212
18 201712
19 202410
20 20239

About Xiaobo Wang

Xiaobo Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Atomic and Molecular Physics, and Optics, having authored 41 papers that have together received 983 indexed citations. Recurring topics across this work include Face recognition and analysis (9 papers), Face and Expression Recognition (6 papers), Biometric Identification and Security (4 papers), Quantum Information and Cryptography (4 papers), Quantum Mechanics and Applications (3 papers), Quantum optics and atomic interactions (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (532 citations), Signal Processing (239 citations), Artificial Intelligence (248 citations), Software (24 citations) and Information Systems (103 citations). Xiaobo Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hailin Shi, Tao Mei, Shuo Wang, Shifeng Zhang, Rui Cao, Xiaochuan Ma, Fei Hao, Junli Jia, Tianyu Fu and Shifeng Zhang. Their work appears in journals such as Organic Chemistry Frontiers, Scientific Reports, Langmuir, IEEE Transactions on Image Processing and Ecological Informatics.

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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