W. David Pan
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Co-authors
- Hongda ShenYuhang DongZhuocheng JiangA.M. ShamsMagdy BayoumiHussein Al-ZoubiVishnu ReddyLance A. Williams
- Topics
- Advanced Data Compression Techniques (24 papers)Advanced Vision and Imaging (13 papers)Video Coding and Compression Technologies (12 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
W. David Pan
71 papers receiving 723 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 497
- Signal Processing 181
- Artificial Intelligence 165
- Electrical and Electronic Engineering 115
- Media Technology 112
Countries citing papers authored by W. David Pan
This map shows the geographic impact of W. David Pan'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 W. David Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. David Pan more than expected).
Fields of papers citing papers by W. David Pan
This network shows the impact of papers produced by W. David Pan. 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 W. David Pan. The network helps show where W. David Pan may publish in the future.
Co-authorship network of co-authors of W. David Pan
This figure shows the co-authorship network connecting the top 25 collaborators of W. David Pan. A scholar is included among the top collaborators of W. David Pan 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 W. David Pan. W. David Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 45 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | Dissecting a Network-Based Education System | 2 |
| 17 | Accuracy, Rate and Complexity Tradeoffs of Transformation Estimation Using Lie Operators. | 1 |
| 18 | 4 | |
| 19 | 26 | |
| 20 | 8 |
About W. David Pan
W. David Pan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 77 papers that have together received 770 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (24 papers), Advanced Vision and Imaging (13 papers) and Video Coding and Compression Technologies (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (497 citations), Signal Processing (181 citations) and Media Technology (112 citations). W. David Pan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Hongda Shen, Yuhang Dong, Zhuocheng Jiang, A.M. Shams, Magdy Bayoumi, Hussein Al-Zoubi, Vishnu Reddy, Lance A. Williams, Seong-Moo Yoo and Allen W. Bryan. Their work appears in journals such as PLoS ONE, Brain Research and IEEE Transactions on Geoscience and Remote Sensing.
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.