Ruohan Zhang

698 citations
33 papers · 234 indexed · h-index 9
Topics
Visual Attention and Saliency Detection (5 papers)Reinforcement Learning in Robotics (5 papers)Gaze Tracking and Assistive Technology (5 papers)

In The Last Decade

Ruohan Zhang

26 papers receiving 229 citations

Peers

Ruohan Zhang
Comparison fields: 5 of 90
  • Cognitive Neuroscience 46
  • Computer Vision and Pattern Recognition 41
  • Artificial Intelligence 40
  • Control and Systems Engineering 29
  • Human-Computer Interaction 29
Replace Iván G. Torre with:
Iván G. Torre Spain
Xiu Zhang China
Cristina Luna-Jiménez Spain
Xu He China
Rob Saunders Australia
Leonardo Vidal Batista Brazil
Bing Kang China
Young-Joo Kim South Korea
Yue Ding China
Vassilios Krassanakis Greece
Ruohan Zhang relative to Iván G. Torre Spain Iván G. Torre's profile →
Citations per field
00.5×4.1×
Iván G. Torre · 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 1
4 15
5 1
6 11
7 0
8 9
9 7
10 37
11 3
12 3
13 0
14
Efficiently Guiding Imitation Learning Algorithms with Human Gaze.
2
15 27
16 23
17 1
18 6
19 28
20 2

About Ruohan Zhang

Ruohan Zhang is a scholar working on Human-Computer Interaction, Business and International Management and Computer Science Applications, having authored 33 papers that have together received 234 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (5 papers), Reinforcement Learning in Robotics (5 papers) and Gaze Tracking and Assistive Technology (5 papers). The work is most often cited by research in Human-Computer Interaction (29 citations), Cognitive Neuroscience (46 citations) and Computer Vision and Pattern Recognition (41 citations). Ruohan Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dana H. Ballard, Mary Hayhoe, Li Fei-Fei, Haochen Shi, Edmund T. Rolls, Chen Wang, C. Karen Liu, Weizhuo Wang, Nuo Sun and Jifeng Deng. Their work appears in journals such as Nature Communications, Scientific Reports and Environmental Pollution.

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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