Alan Liu

111 papers receiving 1.2k citations

Peers

Alan Liu
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 422
  • Computer Graphics and Computer-Aided Design 55
  • Human-Computer Interaction 71
  • Signal Processing 113
  • Management Science and Operations Research 108
Replace Yunsick Sung with:
Yunsick Sung South Korea
Hong-Han Shuai Taiwan
Fangxin Wang China
Runsheng Xu United States
Kiyoshi Tanaka Japan
Chao Tong China
Yingjie Xia China
Xin Gao China
Kai‐Lung Hua Taiwan
Songhua Xu China
Alan Liu relative to Yunsick Sung South Korea Yunsick Sung's profile →
Citations per field
00.5×4.2×
Yunsick Sung · 1×
Citations per year

Countries citing papers authored by Alan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Alan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003188
2 2006124
3 2005103
4 200879
5 199452
6 199446
7 200844
8 202041
9 202128
10 200528
11 199925
12 202024
13 200723
14 199415
15
Towards an immersive virtual environment for medical team training.
200715
16 201015
17 201714
18 200714
19 201214
20 199913

About Alan Liu

Alan Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Control and Systems Engineering, having authored 124 papers that have together received 1.3k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (21 papers), Advanced Software Engineering Methodologies (20 papers), Advanced Manufacturing and Logistics Optimization (9 papers), Context-Aware Activity Recognition Systems (9 papers), Scheduling and Optimization Algorithms (9 papers), Multi-Agent Systems and Negotiation (9 papers), Robotics and Automated Systems (8 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (422 citations), Computer Graphics and Computer-Aided Design (55 citations), Human-Computer Interaction (71 citations), Signal Processing (113 citations) and Management Science and Operations Research (108 citations). Alan Liu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Harry Chia-Hung Hsu, Christoph Kaufmann, Frank Tendick, Kevin Cleary, Stephen M. Pizer, Gaetano Borriello, Bryan S. Morse, Richard R. Sharp, Radek Grzeszczuk and Harlan Hile. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Transactions on Intelligent Transportation Systems, Academic Radiology and Knowledge-Based Systems.

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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