Zhongmou Li

1.8k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Zhongmou Li is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhongmou Li has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhongmou Li's work include Complex Network Analysis Techniques (3 papers), Data Management and Algorithms (3 papers) and Imbalanced Data Classification Techniques (2 papers). Zhongmou Li is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Data Management and Algorithms (3 papers) and Imbalanced Data Classification Techniques (2 papers). Zhongmou Li collaborates with scholars based in United States, China and France. Zhongmou Li's co-authors include Hui Xiong, Yanchi Liu, Junjie Wu, Xuedong Gao, Enhong Chen, Qi Liu, Sen Wu, Yong Ge, Yong Ge and Xiang Wu and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering and Data Mining and Knowledge Discovery.

In The Last Decade

Zhongmou Li

9 papers receiving 1.1k citations

Hit Papers

Understanding of Internal Clustering Validation Measures 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

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.

  1. Understanding of Internal Clustering Validation Measures
    2010 632 citations Yanchi Liu, Zhongmou Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhongmou Li United States 6 486 289 211 185 154 9 1.2k
Olatz Arbelaitz Spain 14 636 1.3× 185 0.6× 221 1.0× 189 1.0× 74 0.5× 43 1.4k
Ibai Gurrutxaga Spain 12 614 1.3× 162 0.6× 202 1.0× 164 0.9× 69 0.4× 31 1.3k
Xuedong Gao China 9 513 1.1× 186 0.6× 185 0.9× 194 1.0× 57 0.4× 72 1.1k
Yu Zheng China 20 830 1.7× 298 1.0× 195 0.9× 383 2.1× 194 1.3× 79 1.8k
Hae-Sang Park South Korea 4 520 1.1× 171 0.6× 199 0.9× 244 1.3× 61 0.4× 5 1.4k
Alí­pio Jorge Portugal 20 1.0k 2.1× 572 2.0× 300 1.4× 274 1.5× 80 0.5× 110 2.1k
Lin Mei China 24 592 1.2× 249 0.9× 144 0.7× 642 3.5× 142 0.9× 70 1.7k
Martin Atzmueller Germany 18 505 1.0× 311 1.1× 211 1.0× 167 0.9× 99 0.6× 143 1.3k
Di Yao China 19 390 0.8× 123 0.4× 375 1.8× 211 1.1× 360 2.3× 55 1.1k
Mohammed Eunus Ali Bangladesh 16 421 0.9× 176 0.6× 231 1.1× 149 0.8× 130 0.8× 93 1.5k

Countries citing papers authored by Zhongmou Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhongmou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongmou Li

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

All Works

9 of 9 papers shown
1.
Li, Zhongmou, et al.. (2022). Wrench Capability Analysis and Control Allocation of a Collaborative Multi-Drone Grasping Robot. Journal of Mechanisms and Robotics. 15(2). 5 indexed citations
2.
Li, Zhongmou. (2016). Anomaly detection and predictive analytics for financial risk management. Rutgers University Community Repository (Rutgers University). 1 indexed citations
3.
Li, Zhongmou, Tao Shu, & Hui Xiong. (2014). Déjà Vu: Assessing Similarity between Service Contracts for Risk Prediction. 290. 147–154. 1 indexed citations
4.
Liu, Yanchi, Zhongmou Li, Hui Xiong, et al.. (2012). Understanding and Enhancement of Internal Clustering Validation Measures. IEEE Transactions on Cybernetics. 43(3). 982–994. 227 indexed citations
5.
Liu, Qi, Enhong Chen, Hui Xiong, et al.. (2012). A Cocktail Approach for Travel Package Recommendation. IEEE Transactions on Knowledge and Data Engineering. 26(2). 278–293. 101 indexed citations
6.
Li, Zhongmou, Hui Xiong, & Yanchi Liu. (2012). Mining blackhole and volcano patterns in directed graphs: a general approach. Data Mining and Knowledge Discovery. 25(3). 577–602. 22 indexed citations
7.
Liu, Qi, Yong Ge, Zhongmou Li, Enhong Chen, & Hui Xiong. (2011). Personalized Travel Package Recommendation. 407–416. 154 indexed citations
8.
Liu, Yanchi, Zhongmou Li, Hui Xiong, Xuedong Gao, & Junjie Wu. (2010). Understanding of Internal Clustering Validation Measures. 911–916. 632 indexed citations breakdown →
9.
Li, Zhongmou, Hui Xiong, Yanchi Liu, & Aoying Zhou. (2010). Detecting Blackhole and Volcano Patterns in Directed Networks. 294–303. 13 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.

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