Ruohan Zhang

1.4k citations
29 papers · 318 indexed · h-index 8
Topics
Video Surveillance and Tracking Methods (3 papers)Urban Green Space and Health (2 papers)Visual Attention and Saliency Detection (2 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Ruohan Zhang

26 papers receiving 310 citations

Peers

Ruohan Zhang
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 150
  • Artificial Intelligence 57
  • Aerospace Engineering 45
  • Media Technology 32
  • Mechanical Engineering 32
Replace Flávio Luis Cardeal Pádua with:
Flávio Luis Cardeal Pádua Brazil
Chao Deng China
Pengjie Tang China
Pavan Kumar Anasosalu Vasu United States
Hui Shuai China
Shengchuan Zhang China
Dae-Seong Kang South Korea
Mohammed Ahmed Talab Malaysia
Ruohan Zhang relative to Flávio Luis Cardeal Pádua Brazil Flávio Luis Cardeal Pádua's profile →
Citations per field
00.5×10×17.3×
Flávio Luis Cardeal Pádua · 1×
Citations per year

Countries citing papers authored by Ruohan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ruohan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruohan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruohan Zhang. A scholar is included among the top collaborators of Ruohan Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruohan Zhang. Ruohan Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 1
5 5
6 6
7 5
8 17
9 3
10 1
11 2
12 2
13 1
14 4
15 11
16 17
17 3
18 3
19 161
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金の酸化物,AuO,金硫化物,AuSの基底状態の電気双極子モーメント
1

About Ruohan Zhang

Ruohan Zhang is a scholar working on Biological Psychiatry, Computer Vision and Pattern Recognition and Bioengineering, having authored 29 papers that have together received 318 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Urban Green Space and Health (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Media Technology (32 citations) and Aerospace Engineering (45 citations). Ruohan Zhang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Licheng Jiao, Fang Liu, Shuyuan Yang, Lingling Li, Biao Hou, Xu Tang, Xu Liu, Yong Li, Zhaoshu Chen and Bei Zhang. Their work appears in journals such as Chemical Society Reviews, The Journal of Chemical Physics and Environmental Science & 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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