Xiaohong Wang

792 citations
70 papers · 523 · h-index 13

Impact in

Papers in

Xiaohong Wang

59 papers receiving 495 citations

Peers

Xiaohong Wang
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 148
  • Artificial Intelligence 180
  • Ophthalmology 38
  • Media Technology 42
  • Computer Science Applications 23
Replace Sang-Hun Lee with:
Sang-Hun Lee South Korea
Simone Bonechi Italy
Salwa Elramly Egypt
Mahdi S. Hosseini Canada
Pavel Izmailov United States
Juan Domingo Spain
Steven Guan United States
Can Zhao United States
Qing Du China
Xiaohong Wang relative to Sang-Hun Lee South Korea Sang-Hun Lee's profile →
Citations per field
00.5×4.6×
Sang-Hun Lee · 1×
Citations per year

Countries citing papers authored by Xiaohong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202175
2 201363
3 202141
4 201325
5 201024
6 200924
7 202221
8 201820
9 200414
10 201914
11 200413
12 200913
13 200213
14 202312
15 201111
16 202310
17 20219
18 20128
19 20177
20 20197

About Xiaohong Wang

Xiaohong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 70 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), HVDC Systems and Fault Protection (5 papers), Power Systems Fault Detection (5 papers), Quantum Information and Cryptography (5 papers), Computational Drug Discovery Methods (4 papers), Retinal Imaging and Analysis (4 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (180 citations), Ophthalmology (38 citations), Media Technology (42 citations) and Computer Science Applications (23 citations). Xiaohong Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xudong Jiang, Miao Liao, Yuqian Zhao, Qinglei Kong, Ping Zhang, Henghui Ding, Feng Yin, Beibei Li, Rongxing Lu and Shuguang Cui. Their work appears in journals such as Geostandards and Geoanalytical Research, ACS Applied Materials & Interfaces, Physics Letters A, IEEE Transactions on Industrial Informatics and Optics & Laser Technology.

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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