Kim-Leng Poh

15 papers and 144 indexed citations i.

About

Kim-Leng Poh is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Kim-Leng Poh has authored 15 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Signal Processing. Recurrent topics in Kim-Leng Poh’s work include Bayesian Modeling and Causal Inference (8 papers), AI-based Problem Solving and Planning (6 papers) and Distributed and Parallel Computing Systems (2 papers). Kim-Leng Poh is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), AI-based Problem Solving and Planning (6 papers) and Distributed and Parallel Computing Systems (2 papers). Kim-Leng Poh collaborates with scholars based in Singapore, China and Denmark. Kim-Leng Poh's co-authors include Liwei Fan, Peng Zhou, Yanping Xiang, Min Xie, Yuan-Shun Dai, Ross D. Shachter, Stig Kjær Andersen, Tze-Yun Leong, Peng Guo and Junfei Hu and has published in prestigious journals such as Expert Systems with Applications, Computers & Operations Research and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Kim-Leng Poh i

Fields of papers citing papers by Kim-Leng Poh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Kim-Leng Poh

Since Specialization
Citations

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).

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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2025