Ran Wang

2.9k citations
205 papers · 2.1k · h-index 23

Impact in

Papers in

Ran Wang

183 papers receiving 2.1k citations

Peers

Ran Wang
Comparison fields: 5 of 166
  • Space and Planetary Science 41
  • Geology 114
  • Computer Vision and Pattern Recognition 282
  • Instrumentation 38
  • Environmental Engineering 147
Replace Fabio Leccese with:
Fabio Leccese Italy
Peng Chen China
Shi Pu China
A. I. Al-Shamma’a United Kingdom
Bijun Li China
Joon Huang Chuah Malaysia
Shilin Zhou China
Hui Huang China
Wei Yu China
You Li China
Ran Wang relative to Fabio Leccese Italy Fabio Leccese's profile →
Citations per field
00.5×2×4×6.4×
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 205 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016215
2 2016155
3 2014107
4 202062
5 202152
6 202049
7 202249
8 200648
9 202237
10 201737
11 201634
12 201334
13 201933
14 201931
15 202430
16 201530
17 202429
18 202428
19 201525
20 202424

About Ran Wang

Ran Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 205 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Advanced Steganography and Watermarking Techniques (8 papers), Digital Media Forensic Detection (8 papers), Plant-Microbe Interactions and Immunity (6 papers), Optical Systems and Laser Technology (6 papers), Advanced Vision and Imaging (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers) and Climate change impacts on agriculture (5 papers). The work is most often cited by research in Space and Planetary Science (41 citations), Geology (114 citations), Computer Vision and Pattern Recognition (282 citations), Instrumentation (38 citations) and Environmental Engineering (147 citations). Ran Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng Li, Yingjun Liu, Zhen Xu, Chao Gao, Yan Liang, Chao Gao, Weiwei Gao, Yonglin Shen, Zhihua Xu and Lixin Wu. Their work appears in journals such as Mechanical Systems and Signal Processing, Applied Optics, Measurement Science and Technology, Journal of Medicinal Chemistry and Journal of Geophysical Research Oceans.

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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