Fumeng Yang

673 total citations
24 papers, 408 citations indexed

About

Fumeng Yang is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Cognitive Neuroscience. According to data from OpenAlex, Fumeng Yang has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and Management and 5 papers in Cognitive Neuroscience. Recurrent topics in Fumeng Yang's work include Data Visualization and Analytics (12 papers), Visual perception and processing mechanisms (4 papers) and Scientific Computing and Data Management (4 papers). Fumeng Yang is often cited by papers focused on Data Visualization and Analytics (12 papers), Visual perception and processing mechanisms (4 papers) and Scientific Computing and Data Management (4 papers). Fumeng Yang collaborates with scholars based in United States, China and Belgium. Fumeng Yang's co-authors include Lane Harrison, Steven Franconeri, Remco Chang, Jean Scholtz, Dustin Arendt, Matthew Kay, Ronald A. Rensink, David H. Laidlaw, Cullen D. Jackson and David Badre and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and CHI Conference on Human Factors in Computing Systems Extended Abstracts.

In The Last Decade

Fumeng Yang

22 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fumeng Yang United States 8 234 172 64 57 51 24 408
Sherry Yang United States 7 39 0.2× 212 1.2× 33 0.5× 71 1.2× 34 0.7× 14 515
Seema Nagar India 13 53 0.2× 251 1.5× 26 0.4× 68 1.2× 11 0.2× 33 431
Eli T. Brown United States 8 329 1.4× 174 1.0× 70 1.1× 4 0.1× 28 0.5× 18 518
Cigdem Turan Hong Kong 8 126 0.5× 111 0.6× 44 0.7× 23 0.4× 36 0.7× 11 347
Alfie Abdul‐Rahman United Kingdom 10 229 1.0× 109 0.6× 19 0.3× 7 0.1× 15 0.3× 39 354
Shunan Guo United States 12 331 1.4× 193 1.1× 19 0.3× 7 0.1× 23 0.5× 27 483
Tharindu Kaluarachchi New Zealand 5 54 0.2× 164 1.0× 43 0.7× 11 0.2× 34 0.7× 11 320
Maxwell Forbes United States 10 425 1.8× 488 2.8× 24 0.4× 15 0.3× 20 0.4× 17 835
Pierre Lison Norway 12 115 0.5× 648 3.8× 20 0.3× 9 0.2× 68 1.3× 35 760
Emily Wall United States 8 244 1.0× 128 0.7× 17 0.3× 6 0.1× 12 0.2× 27 341

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-authorship network of co-authors of Fumeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fumeng Yang. A scholar is included among the top collaborators of Fumeng Yang 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 Fumeng Yang. Fumeng Yang 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
2.
Yang, Fumeng, et al.. (2024). A Comparative Study on Fixed-Order Event Sequence Visualizations: Gantt, Extended Gantt, and Stringline Charts. IEEE Transactions on Visualization and Computer Graphics. 30(12). 7687–7701. 1 indexed citations
3.
Harrison, Lane, et al.. (2024). Promises and Pitfalls: Using Large Language Models to Generate Visualization Items. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1094–1104. 6 indexed citations
4.
Yang, Fumeng, et al.. (2024). The Backstory to “Swaying the Public”: A Design Chronicle of Election Forecast Visualizations. IEEE Transactions on Visualization and Computer Graphics. 31(1). 426–436.
5.
6.
Yang, Fumeng, Yuxin Ma, Lane Harrison, James Tompkin, & David H. Laidlaw. (2023). How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots. 1–17. 7 indexed citations
7.
Yang, Fumeng, et al.. (2023). Adaptive Assessment of Visualization Literacy. IEEE Transactions on Visualization and Computer Graphics. 30(1). 628–637. 12 indexed citations
8.
Yang, Fumeng, Jessica Hullman, Steven Franconeri, et al.. (2023). Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 13 indexed citations
9.
Wacharamanotham, Chat, et al.. (2023). Transparent Practices for Quantitative Empirical Research. 1–5. 1 indexed citations
10.
Yang, Fumeng, et al.. (2023). Subjective Probability Correction for Uncertainty Representations. 1–17. 7 indexed citations
11.
Yang, Fumeng, James Tompkin, Lane Harrison, & David H. Laidlaw. (2022). Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots. IEEE Transactions on Visualization and Computer Graphics. 29(12). 4858–4873. 4 indexed citations
12.
Yang, Fumeng, et al.. (2020). A Virtual Reality Memory Palace Variant Aids Knowledge Retrieval from Scholarly Articles. IEEE Transactions on Visualization and Computer Graphics. 27(12). 4359–4373. 18 indexed citations
13.
Ondov, Brian, Fumeng Yang, Matthew Kay, Niklas Elmqvist, & Steven Franconeri. (2020). Revealing Perceptual Proxies with Adversarial Examples. IEEE Transactions on Visualization and Computer Graphics. 27(2). 1073–1083. 13 indexed citations
14.
Yang, Fumeng, et al.. (2020). How do visual explanations foster end users' appropriate trust in machine learning?. 189–201. 120 indexed citations
15.
Yang, Fumeng, Lane Harrison, Ronald A. Rensink, Steven Franconeri, & Remco Chang. (2018). Correlation Judgment and Visualization Features: A Comparative Study. IEEE Transactions on Visualization and Computer Graphics. 25(3). 1474–1488. 39 indexed citations
16.
Papoutsaki, Alexandra, et al.. (2018). Remotion. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2(2). 1–18. 2 indexed citations
17.
Arendt, Dustin, et al.. (2018). Crush Your Data with ViC 2 ES Then CHISSL Away. 1–8.
18.
Yang, Fumeng, et al.. (2017). Deep residual networks of residual networks for image super-resolution. 190–190. 1 indexed citations
19.
Zhang, Yuming, et al.. (2017). Face sketch recognition based on edge enhancement via deep learning. 207–207. 1 indexed citations
20.
Chang, Remco, et al.. (2016). From Vision Science to Data Science: Applying Perception to Problems in Big Data. Electronic Imaging. 28(16). 1–7. 1 indexed citations

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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