Tao Wan

4.2k citations
154 papers · 2.6k · h-index 27

Impact in

Papers in

Tao Wan

146 papers receiving 2.4k citations

Peers

Tao Wan
Comparison fields: 5 of 157
  • Computer Vision and Pattern Recognition 1.0k
  • Media Technology 414
  • Artificial Intelligence 719
  • Computer Graphics and Computer-Aided Design 70
  • Computer Networks and Communications 446
Replace Zhijun Fang with:
Zhijun Fang China
Kai‐Lung Hua Taiwan
Naveed Akhtar Australia
Junyuan Xie China
Jiancheng Lv China
Zhenkuan Pan China
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Citations per field
00.5×1.5×1.8×
Zhijun Fang · 1×
Citations per year

Countries citing papers authored by Tao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Tao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 2013117
3 2016105
4 2018103
5 201890
6 201873
7
Pretty Secure BGP (psBGP)
200573
8 201473
9 200972
10 200769
11 201263
12 201961
13 200856
14 201055
15 202054
16 202051
17 200049
18 201647
19 201844
20 201140

About Tao Wan

Tao Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Mechanics, having authored 154 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Medical Image Segmentation Techniques (13 papers), AI in cancer detection (12 papers), 3D Shape Modeling and Analysis (12 papers), Robotics and Sensor-Based Localization (11 papers), Computer Graphics and Visualization Techniques (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (414 citations), Artificial Intelligence (719 citations), Computer Graphics and Computer-Aided Design (70 citations) and Computer Networks and Communications (446 citations). Tao Wan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zengchang Qin, Wen Tang, Paul C. van Oorschot, Alin Achim, Nishan Canagarajah, Evangelos Kranakis, Chenchen Zhu, Nigel W. John, Jianhui Chen and George K. Stylios. Their work appears in journals such as Neurocomputing, International Journal of Clothing Science and Technology, Computer Methods and Programs in Biomedicine, Applied Sciences and Journal of Network and Computer Applications.

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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