Conggai Li

431 total citations
9 papers, 326 citations indexed

About

Conggai Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Conggai Li has authored 9 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Conggai Li's work include EEG and Brain-Computer Interfaces (3 papers), Complex Network Analysis Techniques (3 papers) and Graph Theory and Algorithms (2 papers). Conggai Li is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Complex Network Analysis Techniques (3 papers) and Graph Theory and Algorithms (2 papers). Conggai Li collaborates with scholars based in Australia, China and Germany. Conggai Li's co-authors include Rui Cao, Bin Wang, Jie Xiang, Xiaohong Han, Junjie Chen, Haifang Li, Ying Zhang, Lu Qin, Fan Zhang and Wenjie Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Internet of Things Journal and Journal of Neuroscience Methods.

In The Last Decade

Conggai Li

7 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Conggai Li Australia	6	242	129	68	58	43	9	326
Duanpo Wu China	12	278 1.1×	100 0.8×	39 0.6×	48 0.8×	39 0.9×	39	379
M. Abdullah Canbaz United States	6	189 0.8×	111 0.9×	50 0.7×	57 1.0×	36 0.8×	18	300
Kaushik Majumdar India	12	270 1.1×	76 0.6×	44 0.6×	56 1.0×	54 1.3×	30	392
Yunbo Tang China	11	274 1.1×	93 0.7×	44 0.6×	65 1.1×	49 1.1×	27	434
Ariane Schad Germany	6	348 1.4×	142 1.1×	44 0.6×	31 0.5×	94 2.2×	6	396
Seyyed Abed Hosseini Iran	12	326 1.3×	79 0.6×	103 1.5×	85 1.5×	14 0.3×	51	543
Shujuan Geng China	7	297 1.2×	180 1.4×	83 1.2×	46 0.8×	27 0.6×	13	374
Rasmus Elsborg Madsen Denmark	8	153 0.6×	71 0.6×	41 0.6×	167 2.9×	53 1.2×	16	394
Ziad Sankari United States	5	345 1.4×	99 0.8×	89 1.3×	55 0.9×	40 0.9×	7	485
Yuedong Song United Kingdom	7	420 1.7×	240 1.9×	81 1.2×	135 2.3×	47 1.1×	10	521

Countries citing papers authored by Conggai Li

Since Specialization

Citations

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

Fields of papers citing papers by Conggai Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conggai Li

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Li, Kai, Conggai Li, Xin Yuan, et al.. (2025). Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things. IEEE Internet of Things Journal. 12(22). 46269–46293. 6 indexed citations

2.

Li, Conggai, Joseph C. S. Lai, & Sebastian Oberst. (2025). Optimizing self-organized topology of recurrence-based complex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(3).

3.

Li, Conggai, Wei Ni, Ming Ding, et al.. (2024). Decentralized Privacy Preservation for Critical Connections in Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5911–5925.

4.

Li, Conggai, Fan Zhang, Ying Zhang, et al.. (2021). Discovering fortress-like cohesive subgraphs. Knowledge and Information Systems. 63(12). 3217–3250. 2 indexed citations

5.

Niu, Yan, Rui Cao, Huiyun Wang, et al.. (2019). Permutation Fuzzy Entropy—An Index for the Analysis of Epileptic Electroencephalogram. Journal of Medical Imaging and Health Informatics. 9(3). 637–645. 8 indexed citations

6.

Li, Conggai, Fan Zhang, Ying Zhang, et al.. (2019). Efficient progressive minimum k-core search. Proceedings of the VLDB Endowment. 13(3). 362–375. 25 indexed citations

7.

Yang, Yanli, Mengni Zhou, Yan Niu, et al.. (2018). Epileptic Seizure Prediction Based on Permutation Entropy. Frontiers in Computational Neuroscience. 12. 55–55. 67 indexed citations

8.

Zhang, Fan, Conggai Li, Ying Zhang, Lu Qin, & Wenjie Zhang. (2018). Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems. IEEE Transactions on Knowledge and Data Engineering. 32(1). 78–91. 24 indexed citations

9.

Xiang, Jie, Conggai Li, Haifang Li, et al.. (2015). The detection of epileptic seizure signals based on fuzzy entropy. Journal of Neuroscience Methods. 243. 18–25. 194 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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