Ruohui Wang

3.6k citations
144 papers · 2.6k · 1 hit paper · h-index 28

Impact in

Papers in

Ruohui Wang

133 papers receiving 2.5k citations

Ruohui Wang's Hit Papers

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos 2017 · 357 citations
3570+3+6Years since publication100200300

Peers

Ruohui Wang
Comparison fields: 5 of 114
  • Electrical and Electronic Engineering 2.0k
  • Atomic and Molecular Physics, and Optics 658
  • Bioengineering 117
  • Computer Vision and Pattern Recognition 321
  • Biochemistry 75
Replace Zhiyong Zhao with:
Zhiyong Zhao China
Donguk Kim South Korea
Marco Mugnaini Italy
Won‐Jong Lee South Korea
Lin Du China
Juan Zhang China
Naoto Wakatsuki Japan
R. D. S. Yadava India
Xiao Xiao China
David A. Johnson Canada
Ruohui Wang relative to Zhiyong Zhao China Zhiyong Zhao's profile →
Citations per field
00.5×5.3×
Zhiyong Zhao · 1×
Citations per year

Countries citing papers authored by Ruohui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruohui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1
T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos
Hit paper breakdown →
2017357
2 202187
3 201185
4 201178
5 201272
6 201366
7 201356
8 201455
9 201453
10 201750
11 201848
12 202146
13 202145
14 201244
15 201444
16 201244
17 201843
18 201541
19 201639
20 202038

About Ruohui Wang

Ruohui Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Nutrition and Dietetics and Biochemistry, having authored 144 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (113 papers), Photonic and Optical Devices (77 papers), Advanced Fiber Laser Technologies (53 papers), Photonic Crystal and Fiber Optics (32 papers), Semiconductor Lasers and Optical Devices (11 papers), Nuts composition and effects (9 papers), Magneto-Optical Properties and Applications (7 papers) and Optical Coherence Tomography Applications (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.0k citations), Atomic and Molecular Physics, and Optics (658 citations), Bioengineering (117 citations), Computer Vision and Pattern Recognition (321 citations) and Biochemistry (75 citations). Ruohui Wang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Xueguang Qiao, Qiangzhou Rong, Manli Hu, Zhongyao Feng, Fengyi Chen, Tuan Guo, Yinyan Weng, Jing Zhang, Kai Kang and Zhe Wang. Their work appears in journals such as IEEE Sensors Journal, Journal of Lightwave Technology, Optics Letters, IEEE Photonics Technology Letters and Applied Optics.

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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