Edward Tsang

6.4k total citations · 1 hit paper
149 papers, 3.7k citations indexed

About

Edward Tsang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Edward Tsang has authored 149 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Management Science and Operations Research, 57 papers in Artificial Intelligence and 48 papers in Computer Networks and Communications. Recurrent topics in Edward Tsang's work include Constraint Satisfaction and Optimization (42 papers), Evolutionary Algorithms and Applications (34 papers) and Stock Market Forecasting Methods (33 papers). Edward Tsang is often cited by papers focused on Constraint Satisfaction and Optimization (42 papers), Evolutionary Algorithms and Applications (34 papers) and Stock Market Forecasting Methods (33 papers). Edward Tsang collaborates with scholars based in United Kingdom, Mexico and Saudi Arabia. Edward Tsang's co-authors include Qingfu Zhang, Botond Virginas, Wudong Liu, Christos Voudouris, Junwei Sun, Jianyong Sun, James J. Little, Hassan Rashidi, Yaochu Jin and Aimin Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Edward Tsang

143 papers receiving 3.5k citations

Hit Papers

Expensive Multiobjective Optimization by MOEA/D With Gaus... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

Edward Tsang
Comparison fields: 5 of 123
  • Artificial Intelligence 1.9k
  • Computational Theory and Mathematics 1.2k
  • Management Science and Operations Research 975
  • Industrial and Manufacturing Engineering 838
  • Computer Networks and Communications 624
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Citations per field, relative to Edward Tsang
Edward Tsang · 1×
Citations per year, relative to Edward Tsang
Edward Tsang · 1×

Countries citing papers authored by Edward Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Edward Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Tsang. A scholar is included among the top collaborators of Edward Tsang 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 Edward Tsang. Edward Tsang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems
10
2
Stylized Facts of the FX Market Transactions Data: An Empirical Study
5
3
An Efficient Extension of Network Simplex Algorithm
1
4
An Agent-Based Model of Interactions in the Payment Card Market
1
5
Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma
13
6 7
7 17
8
REDUCING FAILURES IN INVESTMENT RECOMMENDATIONS USING GENETIC PROGRAMMING
14
9
Improving Technical Analysis Predictions: An Application of Genetic Programming
40
10
Systematic versus stochastic constraint satisfaction
47
11
An Empirical Investigation Into the Exceptionally Hard Problems
4
12
An attempt to map the performance of a range of algorithm and heuristic combinations
8
13
GENET: a connectionist architecture for solving constraint satisfaction problems by iterative improvement
77
14
Applying genetic algorithms to constraint satisfaction optimization problems
12
15
Consistency and satisfiability in constraint satisfaction problems
1
16
Elements in Temporal Reasoning in Planning.
4
17
Time structures for AI
22
18
The consistent labeling problem in temporal reasoning
19
19
TLP—a temporal planner
9
20
Plan Generation in a Temporal Frame.
9

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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