Hongmei Chen

848 total citations
42 papers, 387 citations indexed

About

Hongmei Chen is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hongmei Chen has authored 42 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 22 papers in Signal Processing and 16 papers in Artificial Intelligence. Recurrent topics in Hongmei Chen's work include Data Management and Algorithms (20 papers), Data Mining Algorithms and Applications (19 papers) and Rough Sets and Fuzzy Logic (7 papers). Hongmei Chen is often cited by papers focused on Data Management and Algorithms (20 papers), Data Mining Algorithms and Applications (19 papers) and Rough Sets and Fuzzy Logic (7 papers). Hongmei Chen collaborates with scholars based in China, United States and Australia. Hongmei Chen's co-authors include Lizhen Wang, Rick Kazman, Xuguang Bao, Lihua Zhou, Longbing Cao, Peizhong Yang, Junli Lu, Jun Han, Dezhong Peng and Lei Le and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hongmei Chen

34 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongmei Chen China	10	224	151	75	65	57	42	387
Marie-Aude Aufaure France	12	111 0.5×	69 0.5×	148 2.0×	19 0.3×	9 0.2×	39	354
J. Leon Zhao United States	12	200 0.9×	149 1.0×	109 1.5×	243 3.7×	9 0.2×	25	476
Qiang Ding China	12	119 0.5×	71 0.5×	148 2.0×	29 0.4×	10 0.2×	45	359
Andriy Nikolov United Kingdom	12	174 0.8×	47 0.3×	350 4.7×	35 0.5×	128 2.2×	30	563
Wan Shiou Yang Taiwan	9	258 1.2×	39 0.3×	102 1.4×	55 0.8×	14 0.2×	15	446
M. Shahriar Hossain United States	12	89 0.4×	68 0.5×	143 1.9×	17 0.3×	7 0.1×	39	411
Roberto de Pinho Brazil	8	215 1.0×	34 0.2×	108 1.4×	24 0.4×	41 0.7×	13	370
Leszek A. Maciaszek Poland	9	239 1.1×	52 0.3×	197 2.6×	72 1.1×	21 0.4×	42	428
Ullas Nambiar United States	11	199 0.9×	179 1.2×	253 3.4×	15 0.2×	11 0.2×	38	465

Countries citing papers authored by Hongmei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Hongmei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongmei Chen

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

All Works

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20 of 20 papers shown

Yang, Peizhong, et al.. (2025). Mining spatiotemporal dominant co-location patterns. Expert Systems with Applications. 298. 129775–129775.

Ye, Run, et al.. (2025). A kernelized fuzzy approximation fusion model with granular-ball computing for outlier detection. Information Fusion. 127. 103716–103716.

Wang, Lizhen, et al.. (2025). Mining regional co-location patterns in urban areas with considerations of temporal accessibility and regional structure. International Journal of Geographical Information Systems. 40(4). 1160–1188.

Peng, Dezhong, et al.. (2025). Fusing multi-granular-ball fuzzy information to detect outliers. Applied Soft Computing. 175. 113045–113045. 3 indexed citations

Chen, Hongmei, et al.. (2025). Granular-ball computing-based Random Walk for anomaly detection. Pattern Recognition. 165. 111588–111588. 4 indexed citations

Chen, Hongmei, et al.. (2025). Self-supervised learning of invariant causal representation in heterogeneous information network. Information Fusion. 123. 103246–103246.

Chen, Hongmei, et al.. (2024). GBMOD: A granular-ball mean-shift outlier detector. Pattern Recognition. 159. 111115–111115. 7 indexed citations

Yang, Peizhong, Lizhen Wang, Lihua Zhou, & Hongmei Chen. (2024). A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension. Information Sciences. 666. 120407–120407. 1 indexed citations

Wang, Lizhen, et al.. (2024). dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns. Expert Systems with Applications. 261. 125471–125471. 1 indexed citations

10.

Zhang, Wenbing, Hongmei Chen, Qing Xiao, Lihua Zhou, & Lizhen Wang. (2024). PMPRec: A Pre-training encoder based on Meta-Path for Recommendation. 1–7.

11.

Wang, Lizhen, et al.. (2022). Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. Information Sciences. 592. 361–388. 14 indexed citations

12.

Chen, Hongmei, et al.. (2022). Mining fuzzy sub-prevalent co-location pattern with dominant feature. 1–10. 2 indexed citations

13.

Yang, Peizhong, Lizhen Wang, Lihua Zhou, & Hongmei Chen. (2022). Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7845–7859.

14.

Le, Lei, et al.. (2021). Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory. IEEE Transactions on Fuzzy Systems. 30(6). 2055–2072. 13 indexed citations

15.

Li, Yurui, et al.. (2019). POI Representation Learning by a Hybrid Model. 25. 485–490. 4 indexed citations

16.

Zhou, Lihua, et al.. (2018). Clustering Multivariate Time Series Data via Multi-Nonnegative Matrix Factorization in Multi-Relational Networks. IEEE Access. 6. 74747–74761. 14 indexed citations

17.

Wang, Lizhen, et al.. (2018). Mining spatial dynamic co-location patterns. Filomat. 32(5). 1491–1497. 3 indexed citations

18.

Mikkonen, Tommi, et al.. (2015). Lean startup meets software product lines: Survival of the fittest or letting products bloom?. 134–148. 4 indexed citations

19.

Jiang, Yue, Lizhen Wang, Ye Lu, & Hongmei Chen. (2010). Discovering both positive and negative co-location rules from spatial data sets. International Conference on Software Engineering. 398–403. 8 indexed citations

20.

Wang, Lizhen & Hongmei Chen. (2005). Record reduction based on attribute oriented generalization. 2. 1693–1700 Vol. 3. 3 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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