Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
TwitterRank
20101.2k citationsEe‐Peng Lim, Jing Jiang et al.Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)profile →
Detecting product review spammers using rating behaviors
2010472 citationsEe‐Peng Lim, Hady W. Lauw et al.profile →
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
This map shows the geographic impact of Ee‐Peng Lim'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 Ee‐Peng Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ee‐Peng Lim more than expected).
This network shows the impact of papers produced by Ee‐Peng Lim. 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 Ee‐Peng Lim. The network helps show where Ee‐Peng Lim may publish in the future.
Co-authorship network of co-authors of Ee‐Peng Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Ee‐Peng Lim.
A scholar is included among the top collaborators of Ee‐Peng Lim 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 Ee‐Peng Lim. Ee‐Peng Lim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chua, Alton Y.K., et al.. (2016). COLLECTIVE RUMOR CORRECTION ON THE DEATH HOAX. Pacific Asia Conference on Information Systems. 178.3 indexed citations
Oentaryo, Richard J., Ee‐Peng Lim, David Lo, et al.. (2014). Detecting click fraud in online advertising: a data mining approach. Journal of Machine Learning Research. 15(1). 99–140.45 indexed citations
Harrigan, Nicholas, Palakorn Achananuparp, & Ee‐Peng Lim. (2012). Influentials, Novelty, and Social Contagion: The Viral Power of Average Friends, Close Communities, and Old News. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).5 indexed citations
Tanaka, Katsumi, Takashi Matsuyama, Ee‐Peng Lim, & Adam Jatowt. (2008). Proceedings of the 2nd ACM workshop on Information credibility on the web.1 indexed citations
12.
Lim, Ee‐Peng, Jun Zhang, Yuanyuan Li, et al.. (2006). G-Portal - A Cross Disciplinary Digital Library Research Program from Singapore.. 3.1 indexed citations
13.
Lauw, Hady W., Ee‐Peng Lim, & Ke Wang. (2006). Bias and controversy. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 625–630.22 indexed citations
14.
Chen, Hsinchun, et al.. (2005). Digital Libraries: International Collaboration and Cross-Fertilization: 7th International Conference on Asian Digital Libraries, ICADL 2004, Shanghai, ... (Lecture Notes in Computer Science). Springer eBooks.1 indexed citations
15.
Chen, Hsinchun, et al.. (2004). Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries.1 indexed citations
16.
Ong, Kok‐Leong, Wee Keong Ng, & Ee‐Peng Lim. (2003). CrystalBall: a framework for mining variants of association rules. Australasian Database Conference. 85–94.1 indexed citations
Chiang, Roger H.L. & Ee‐Peng Lim. (2002). Proceedings of the 4th international workshop on Web information and data management.12 indexed citations
19.
Lim, Ee‐Peng & Wee Keong Ng. (2000). An Overview of the Agent-Based Electronic Commerce System (ABECOS) Project.. IEEE Data(base) Engineering Bulletin. 23. 49–54.2 indexed citations
20.
Bhowmick, Sourav S., Sanjay Madria, Wee Keong Ng, & Ee‐Peng Lim. (1998). Web Bags: Are they useful in a web warehouse?. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 210–220.10 indexed citations
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.