Ran Wang

2.8k citations
183 papers · 1.8k · h-index 20

Impact in

Papers in

Ran Wang

154 papers receiving 1.8k citations

Peers

Ran Wang
Comparison fields: 5 of 165
  • Space and Planetary Science 40
  • Geology 106
  • Instrumentation 38
  • Computer Vision and Pattern Recognition 225
  • Environmental Engineering 138
Replace Fabio Leccese with:
Fabio Leccese Italy
Shi Pu China
Peng Chen China
A. I. Al-Shamma’a United Kingdom
Minkoo Kim South Korea
Shilin Zhou China
Bijun Li China
Xinyuan Zhang China
Wei Yu China
You Li China
Ran Wang relative to Fabio Leccese Italy Fabio Leccese's profile →
Citations per field
00.5×4.5×
Fabio Leccese · 1×
Citations per year

Countries citing papers authored by Ran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016210
2 2016152
3 2014101
4 202057
5 202046
6 200646
7 202245
8 202145
9 201334
10 201633
11 202232
12 201930
13 201928
14 202426
15 201526
16 201723
17 202421
18 201521
19 201821
20 201920

About Ran Wang

Ran Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 183 papers that have together received 1.8k indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Advanced Steganography and Watermarking Techniques (7 papers), Digital Media Forensic Detection (7 papers), Plant-Microbe Interactions and Immunity (6 papers), Advanced SAR Imaging Techniques (5 papers), Optical Systems and Laser Technology (5 papers), Remote Sensing and Land Use (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Space and Planetary Science (40 citations), Geology (106 citations), Instrumentation (38 citations), Computer Vision and Pattern Recognition (225 citations) and Environmental Engineering (138 citations). Ran Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhen Xu, Zheng Li, Yingjun Liu, Chao Gao, Chao Gao, Weiwei Gao, Yonglin Shen, Fashuai Li, Lixin Wu and Li Peng. Their work appears in journals such as Mechanical Systems and Signal Processing, Applied Optics, Journal of Geophysical Research Oceans, Frontiers in Marine Science and Horticulture Research.

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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