T.M. Chan

521 citations
14 papers · 385 · h-index 8

Impact in

Papers in

T.M. Chan

14 papers receiving 373 citations

Peers

T.M. Chan
Comparison fields: 5 of 59
  • Industrial and Manufacturing Engineering 193
  • Strategy and Management 98
  • Management Information Systems 54
  • Industrial and Manufacturing Engineering 51
  • Media Technology 48
Replace Shuxia Li with:
Shuxia Li China
Ligang Cui China
Hsin Rau Taiwan
Qian Hu China
Mehdi Alinaghian Iran
Zhengang Guo United Kingdom
Paweł Pawlewski Poland
Ramasamy Panneerselvam India
Stevanus A. Tjandra Canada
Leidi Shen Hong Kong
T.M. Chan relative to Shuxia Li China Shuxia Li's profile →
Citations per field
00.5×5.7×
Shuxia Li · 1×
Citations per year

Countries citing papers authored by T.M. Chan

Since Specialization
Citations

This map shows the geographic impact of T.M. Chan'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 T.M. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.M. Chan more than expected).

Fields of papers citing papers by T.M. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.M. Chan. 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 T.M. Chan. The network helps show where T.M. Chan may publish in the future.

Co-authors

The 18 scholars most cited alongside T.M. Chan, 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 T.M. Chan Line = papers co-authored together T.M. Chan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2008129
2 200991
3 200860
4 200830
5 200820
6 200813
7 200913
8 20119
9 20087
10 20116
11 20142
12 20042
13 20102
14 20071

About T.M. Chan

T.M. Chan is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Management Information Systems, Strategy and Management and Computational Theory and Mathematics, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include Optimization and Packing Problems (5 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Vehicle Routing Optimization Methods (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Sustainable Supply Chain Management (3 papers), Supply Chain and Inventory Management (2 papers), Scheduling and Optimization Algorithms (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (193 citations), Strategy and Management (98 citations), Management Information Systems (54 citations), Industrial and Manufacturing Engineering (51 citations) and Media Technology (48 citations). T.M. Chan has collaborated with scholars based in Hong Kong, Portugal and Singapore. Frequent co-authors include C.K.M. Lee, H.C.W. Lau, G.T.S. Ho, K.L. Choy, Felix T.S. Chan, Henry Lau, Wenguang Hou, Mingyue Ding, Richard Y.K. Fung and Sai‐Ho Chung. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Automation Science and Engineering, Journal of Intelligent & Fuzzy Systems, Inverse Problems in Science and Engineering and Industrial Management & Data 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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