Xinjing Wang

2.2k citations
92 papers · 1.5k · h-index 19

Impact in

Papers in

Xinjing Wang

79 papers receiving 1.5k citations

Peers

Xinjing Wang
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 756
  • Computational Theory and Mathematics 280
  • Artificial Intelligence 476
  • Computer Science Applications 62
  • Media Technology 95
Replace Fan Li with:
Fan Li China
Tat-Ming Lok Hong Kong
Huan Zhang China
Han Liu China
XuanLong Nguyen United States
Hongjun Wang China
Éric Lefèvre France
Aaron Klein Germany
Xinjing Wang relative to Fan Li China Fan Li's profile →
Citations per field
00.5×4.4×
Fan Li · 1×
Citations per year

Countries citing papers authored by Xinjing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinjing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006224
2 2019139
3 2008124
4 201686
5 200976
6 201071
7 201269
8 200462
9 201752
10 202045
11 201940
12 202040
13 200934
14 201829
15 201827
16 202227
17 201424
18 200524
19 201221
20 202118

About Xinjing Wang

Xinjing Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Computational Theory and Mathematics and Aerospace Engineering, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (28 papers), Image Retrieval and Classification Techniques (26 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Underwater Vehicles and Communication Systems (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Aerospace Engineering and Energy Systems (7 papers), Video Analysis and Summarization (7 papers) and Remote-Sensing Image Classification (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (756 citations), Computational Theory and Mathematics (280 citations), Artificial Intelligence (476 citations), Computer Science Applications (62 citations) and Media Technology (95 citations). Xinjing Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei‐Ying Ma, Lei Zhang, Peng Wang, Jing Feng, Baowei Song, Xing Li, Xirong Li, Lei Zhang, Huachao Dong and G. Gary Wang. Their work appears in journals such as Ocean Engineering, Applied Soft Computing, Journal of Cleaner Production, European Journal of Organic Chemistry and Scientific Reports.

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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