David Fan

429 total citations
14 papers, 269 citations indexed

About

David Fan is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Fan has authored 14 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Fan's work include Human Pose and Action Recognition (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). David Fan is often cited by papers focused on Human Pose and Action Recognition (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). David Fan collaborates with scholars based in United States, Grenada and China. David Fan's co-authors include Henry H. Yin, Gia-Wei Chern, Cristian D. Batista, Sang‐Wook Cheong, Shi‐Zeng Lin, Yue Liu, Fei Fan, V. Kiryukhin, Xueyun Wang and Wojciech H. Zurek and has published in prestigious journals such as PLoS ONE, Nature Physics and European Journal of Neuroscience.

In The Last Decade

David Fan

12 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Fan United States 6 83 70 62 47 45 14 269
Soonwan Kwon South Korea 7 21 0.3× 63 0.9× 26 0.4× 11 0.2× 97 2.2× 12 570
C. A. Marlow United States 10 13 0.2× 86 1.2× 32 0.5× 60 1.3× 196 4.4× 21 415
Wriddhi Chakraborty United States 16 25 0.3× 269 3.8× 15 0.2× 23 0.5× 55 1.2× 39 961
Mikhail Genkin United States 8 50 0.6× 41 0.6× 6 0.1× 166 3.5× 26 0.6× 14 329
Sungmeen Myung South Korea 6 17 0.2× 54 0.8× 25 0.4× 10 0.2× 94 2.1× 9 526
Advait Madhavan United States 12 33 0.4× 17 0.2× 12 0.2× 23 0.5× 85 1.9× 37 483
Asya Shpiro United States 8 39 0.5× 26 0.4× 15 0.2× 66 1.4× 140 3.1× 10 547
Pál Koppa Hungary 11 72 0.9× 78 1.1× 68 1.1× 3 0.1× 231 5.1× 57 438
G. A. Fonseca Guerra Brazil 6 71 0.9× 68 1.0× 17 0.3× 119 2.5× 281 6.2× 9 723
Zhehong Wang China 10 10 0.1× 27 0.4× 62 1.0× 10 0.2× 151 3.4× 31 412

Countries citing papers authored by David Fan

Since Specialization
Citations

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

Fields of papers citing papers by David Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fan

This figure shows the co-authorship network connecting the top 25 collaborators of David Fan. A scholar is included among the top collaborators of David Fan 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 David Fan. David Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lee, Seon‐Ho, Jue Wang, David Fan, et al.. (2025). Now you see Me: Context-Aware Automatic Audio Description. 5530–5539.
2.
Ginting, Muhammad Fadhil, Sung Kyun Kim, David Fan, et al.. (2024). SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks. 5 indexed citations
3.
Fan, David, et al.. (2024). A Displaced Intrauterine Device Eroding Into the Sigmoid Colon. Cureus. 16(6). e62238–e62238. 1 indexed citations
4.
Fan, David, et al.. (2023). Motion-Guided Masking for Spatiotemporal Representation Learning. 5596–5606. 4 indexed citations
5.
Sadoughi, Najmeh, Xinyu Li, David Fan, et al.. (2023). MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. 23274–23283. 1 indexed citations
6.
Yu, Chunxiu, et al.. (2022). Striatal mechanisms of turning behaviour following unilateral dopamine depletion in mice. European Journal of Neuroscience. 56(5). 4529–4545. 5 indexed citations
7.
Fan, David, et al.. (2021). Convolutional Neural Networks for Enhanced Compression Techniques. 12. 392–399.
8.
Chen, Shixing, et al.. (2021). Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. 9791–9800. 33 indexed citations
9.
Chen, Weifeng, et al.. (2020). OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. 676–685. 23 indexed citations
10.
Li, Andrew, William Yang Wang, Angela Lee, et al.. (2015). Heart-specific Rpd3 downregulation enhances cardiac function and longevity. Aging. 7(9). 648–660. 12 indexed citations
11.
Lin, Shi‐Zeng, Xueyun Wang, Yoshitomo Kamiya, et al.. (2014). Topological defects as relics of emergent continuous symmetry and Higgs condensation of disorder in ferroelectrics. Nature Physics. 10(12). 970–977. 136 indexed citations
12.
Fan, David, et al.. (2014). Study of an EEG based Brain Machine Interface System for Controlling a Robotic Arm. 339–344. 1 indexed citations
13.
Rossi, Mark A., David Fan, Joseph W. Barter, & Henry H. Yin. (2013). Bidirectional Modulation of Substantia Nigra Activity by Motivational State. PLoS ONE. 8(8). e71598–e71598. 33 indexed citations
14.
Fan, David, et al.. (2011). Motivational State and Reward Content Determine Choice Behavior under Risk in Mice. PLoS ONE. 6(9). e25342–e25342. 15 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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