Fumeng Yang

707 citations
28 papers · 469 · h-index 9

Impact in

Papers in

Fumeng Yang

26 papers receiving 453 citations

Peers

Fumeng Yang
Comparison fields: 5 of 79
  • Health Informatics 22
  • Computer Vision and Pattern Recognition 267
  • Safety Research 60
  • General Decision Sciences 12
  • Human-Computer Interaction 38
Replace Cigdem Turan with:
Cigdem Turan Germany
Sherry Yang United States
Michael Wolverton United States
Danna Gurari United States
Seema Nagar India
Joshua C. Klontz United States
Yun-Gyung Cheong South Korea
Maxwell Forbes United States
Dylan Hadfield-Menell United States
Bo Brinkman United States
Fumeng Yang relative to Cigdem Turan Germany Cigdem Turan's profile →
Citations per field
00.5×4.5×
Cigdem Turan · 1×
Citations per year

Countries citing papers authored by Fumeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fumeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014155
2 2020136
3 201840
4 202022
5 202318
6 202014
7 202312
8 20249
9 20238
10 20237
11 20207
12 20246
13 20225
14 20224
15 20154
16 20164
17 20184
18 20252
19 20242
20 20182

About Fumeng Yang

Fumeng Yang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems and Management, Artificial Intelligence and Human-Computer Interaction, having authored 28 papers that have together received 469 indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Scientific Computing and Data Management (4 papers), Visual perception and processing mechanisms (4 papers), Data Analysis with R (3 papers), Advanced Image Processing Techniques (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Software Engineering Research (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (22 citations), Computer Vision and Pattern Recognition (267 citations), Safety Research (60 citations), General Decision Sciences (12 citations) and Human-Computer Interaction (38 citations). Fumeng Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Lane Harrison, Steven Franconeri, Remco Chang, Dustin Arendt, Jean Scholtz, Matthew Kay, Ronald A. Rensink, David H. Laidlaw, David Badre and Cullen D. Jackson. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Lecture notes in computer science, OSF Preprints (OSF Preprints) and CHI Conference on Human Factors in Computing Systems Extended Abstracts.

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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