Alan Liu

130 papers receiving 1.6k citations

Peers

Alan Liu
Comparison fields: 5 of 140
  • Computer Vision and Pattern Recognition 570
  • Computer Graphics and Computer-Aided Design 70
  • Human-Computer Interaction 95
  • Signal Processing 133
  • Management Science and Operations Research 139
Replace Klaus Diepold with:
Klaus Diepold Germany
Runsheng Xu United States
Kiyoshi Tanaka Japan
Fangxin Wang China
Bing Zhou China
Tao Chen China
Chao Gou China
Mitsunori Miki Japan
Gang Chen China
Songhua Xu China
Alan Liu relative to Klaus Diepold Germany Klaus Diepold's profile →
Citations per field
00.5×2.6×
Klaus Diepold · 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 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003223
2 2006153
3 2005107
4 200891
5 199460
6 199859
7 199451
8 200949
9 200845
10 202044
11 199939
12 201234
13 200533
14 202129
15 199928
16 199626
17 202026
18 200723
19
Towards an immersive virtual environment for medical team training.
200720
20 201018

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 142 papers that have together received 1.7k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (21 papers), Advanced Software Engineering Methodologies (20 papers), Scheduling and Optimization Algorithms (11 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Surgical Simulation and Training (10 papers), Medical Image Segmentation Techniques (9 papers), Multi-Agent Systems and Negotiation (9 papers) and Context-Aware Activity Recognition Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (570 citations), Computer Graphics and Computer-Aided Design (70 citations), Human-Computer Interaction (95 citations), Signal Processing (133 citations) and Management Science and Operations Research (139 citations). Alan Liu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Stephen M. Pizer, Christoph Kaufmann, Frank Tendick, Kevin Cleary, Gaetano Borriello, Elizabeth Bullitt, Bryan S. Morse, Ramakrishna Vedantham, Harlan Hile and Radek Grzeszczuk. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Lecture notes in computer science, Protein Expression and Purification, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Pattern Recognition Letters.

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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