Kim-Leng Poh
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Safety, Risk, Reliability and Quality top 10%
- Software top 10%
- Topics
- Bayesian Modeling and Causal Inference (10 papers)AI-based Problem Solving and Planning (8 papers)Intelligent Tutoring Systems and Adaptive Learning (4 papers)
- Journals
- Expert Systems with ApplicationsComputers & Operations ResearchComputers in Biology and Medicine
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Kim-Leng Poh
25 papers receiving 267 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 108
- Computer Networks and Communications 94
- Information Systems 68
- Safety, Risk, Reliability and Quality 50
- Software 43
Countries citing papers authored by Kim-Leng Poh
This map shows the geographic impact of Kim-Leng Poh'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 Kim-Leng Poh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim-Leng Poh more than expected).
Fields of papers citing papers by Kim-Leng Poh
This network shows the impact of papers produced by Kim-Leng Poh. 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 Kim-Leng Poh. The network helps show where Kim-Leng Poh may publish in the future.
Co-authorship network of co-authors of Kim-Leng Poh
This figure shows the co-authorship network connecting the top 25 collaborators of Kim-Leng Poh. A scholar is included among the top collaborators of Kim-Leng Poh 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 Kim-Leng Poh. Kim-Leng Poh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | An approach to generate flexibility in engineering design of sustainable waste-to-energy systems | 3 |
| 5 | Designing Flexible Engineering System Using a Sensitivity-based Method | 3 |
| 6 | 2 | |
| 7 | 51 | |
| 8 | A Hybrid Algorithm for the Quadratic Assignment Problem. | 6 |
| 9 | A Mathematical Programming Model For A Timetabling Problem. | 8 |
| 10 | Graphical Multiagent Decision Model: Towards Adaptability. | 0 |
| 11 | Integration of Probabilistic Graphic Models for Decision Support | 0 |
| 12 | Constructing Bayesian Network in a Changing World. | 6 |
| 13 | On program and file assignment for distributed systems. | 2 |
| 14 | 115 | |
| 15 | 2 | |
| 16 | A symbolic method for structure verification in multiply sectioned Bayesian networks | 1 |
| 17 | 1 | |
| 18 | Fuzzy MCDM based on confidence analysis | 5 |
| 19 | 17 | |
| 20 | 6 |
About Kim-Leng Poh
Kim-Leng Poh is a scholar working on Artificial Intelligence, Signal Processing and Software, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), AI-based Problem Solving and Planning (8 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). The work is most often cited by research in Software (43 citations), Safety, Risk, Reliability and Quality (50 citations) and Computer Networks and Communications (94 citations). Kim-Leng Poh has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Min Xie, Yuan-Shun Dai, Peng Zhou, Liwei Fan, Yanping Xiang, Aldy Gunawan, Junfei Hu, Kien Ming Ng, Tze-Yun Leong and Yifeng Zeng. Their work appears in journals such as Expert Systems with Applications, Computers & Operations Research and Computers in Biology and Medicine.
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.