Mingjing Du

1.3k total citations · 1 hit paper
26 papers, 962 citations indexed

About

Mingjing Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Mingjing Du has authored 26 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Mingjing Du's work include Advanced Clustering Algorithms Research (17 papers), Complex Network Analysis Techniques (9 papers) and Face and Expression Recognition (8 papers). Mingjing Du is often cited by papers focused on Advanced Clustering Algorithms Research (17 papers), Complex Network Analysis Techniques (9 papers) and Face and Expression Recognition (8 papers). Mingjing Du collaborates with scholars based in China. Mingjing Du's co-authors include Shifei Ding, Hongjie Jia, Yu Xue, Xiao Xu, Yu Xue, Yongquan Dong, Tongfeng Sun, Zhongzhi Shi, Xia Wang and Ru Wang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Mingjing Du

24 papers receiving 947 citations

Hit Papers

align trajectories

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.

Study on density peaks clustering based on k-nearest neighbors and principal component analysis

2016 371 citations Mingjing Du, Shifei Ding et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingjing Du China	14	729	435	291	180	75	26	962
Dongdong Cheng China	18	694 1.0×	326 0.7×	169 0.6×	177 1.0×	56 0.7×	42	884
Jinlong Huang China	17	875 1.2×	384 0.9×	202 0.7×	223 1.2×	64 0.9×	39	1.1k
Caiming Zhong China	13	369 0.5×	271 0.6×	121 0.4×	119 0.7×	75 1.0×	42	632
Yuheng Jia China	21	533 0.7×	749 1.7×	151 0.5×	109 0.6×	78 1.0×	72	1.2k
Sami Sieranoja Finland	8	483 0.7×	202 0.5×	112 0.4×	149 0.8×	102 1.4×	13	748
Malay K. Pakhira India	7	569 0.8×	264 0.6×	82 0.3×	151 0.8×	120 1.6×	22	915
Wenxuan Tu China	21	1.2k 1.6×	794 1.8×	319 1.1×	55 0.3×	216 2.9×	50	1.6k
Grigorios Tzortzis Greece	9	425 0.6×	386 0.9×	66 0.2×	86 0.5×	79 1.1×	11	717
Yan Pan China	15	585 0.8×	1.4k 3.1×	128 0.4×	92 0.5×	98 1.3×	70	1.8k
Yasuhiro Fujiwara Japan	15	452 0.6×	248 0.6×	238 0.8×	120 0.7×	158 2.1×	45	690

Countries citing papers authored by Mingjing Du

Since Specialization

Citations

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

Fields of papers citing papers by Mingjing Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjing Du

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjing Du. A scholar is included among the top collaborators of Mingjing Du 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 Mingjing Du. Mingjing Du 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:

20 of 20 papers shown

Du, Mingjing, et al.. (2025). GDCMAD: Graph-based dual-contrastive representation learning for multivariate time series anomaly detection. Information Sciences. 728. 122790–122790.

Li, Yurui, et al.. (2024). Contrastive learning-based multi-view clustering for incomplete multivariate time series. Information Fusion. 117. 102812–102812. 2 indexed citations

Du, Mingjing, et al.. (2024). Density-based clustering with differential privacy. Information Sciences. 681. 121211–121211. 2 indexed citations

Du, Mingjing, et al.. (2024). VAEAT: Variational AutoeEncoder with adversarial training for multivariate time series anomaly detection. Information Sciences. 676. 120852–120852. 11 indexed citations

Li, Yurui, et al.. (2024). Feature Weighting-Based Deep Fuzzy C-Means for Clustering Incomplete Time Series. IEEE Transactions on Fuzzy Systems. 32(12). 6835–6847. 3 indexed citations

Du, Mingjing, et al.. (2024). Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5680–5693. 9 indexed citations

Du, Mingjing, et al.. (2024). TWStream: Three-Way Stream Clustering. IEEE Transactions on Fuzzy Systems. 32(9). 4927–4939. 12 indexed citations

Du, Mingjing, et al.. (2022). Dual-Space Transfer Learning Based on an Indirect Mutual Promotion Strategy. International Journal of Computational Intelligence Systems. 15(1). 1 indexed citations

Sun, Chen, et al.. (2022). A three-way clustering method based on improved density peaks algorithm and boundary detection graph. International Journal of Approximate Reasoning. 153. 239–257. 16 indexed citations

10.

Du, Mingjing, et al.. (2022). M3W: Multistep Three-Way Clustering. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5627–5640. 33 indexed citations

11.

Du, Mingjing, et al.. (2021). Multiple Latent Spaces Learning for Cross-Domain Text Classification. 17–24.

12.

Du, Mingjing, Shifei Ding, Yu Xue, & Zhongzhi Shi. (2018). A novel density peaks clustering with sensitivity of local density and density-adaptive metric. Knowledge and Information Systems. 59(2). 285–309. 35 indexed citations

13.

Du, Mingjing, Shifei Ding, & Yu Xue. (2017). A novel density peaks clustering algorithm for mixed data. Pattern Recognition Letters. 97. 46–53. 47 indexed citations

14.

Du, Mingjing, Shifei Ding, & Yu Xue. (2017). A robust density peaks clustering algorithm using fuzzy neighborhood. International Journal of Machine Learning and Cybernetics. 9(7). 1131–1140. 60 indexed citations

15.

Ding, Shifei, Mingjing Du, Tongfeng Sun, Xiao Xu, & Yu Xue. (2017). An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood. Knowledge-Based Systems. 133. 294–313. 64 indexed citations

16.

Jia, Hongjie, Shifei Ding, & Mingjing Du. (2016). A Nyström spectral clustering algorithm based on probability incremental sampling. Soft Computing. 21(19). 5815–5827. 20 indexed citations

17.

Xu, Xiao, Shifei Ding, Mingjing Du, & Yu Xue. (2016). DPCG: an efficient density peaks clustering algorithm based on grid. International Journal of Machine Learning and Cybernetics. 9(5). 743–754. 61 indexed citations

18.

Du, Mingjing, Shifei Ding, & Hongjie Jia. (2016). Study on density peaks clustering based on k-nearest neighbors and principal component analysis. Knowledge-Based Systems. 99. 135–145. 371 indexed citations breakdown →

19.

Ding, Shifei, Mingjing Du, & Hong Zhu. (2015). Survey on granularity clustering. Cognitive Neurodynamics. 9(6). 561–572. 12 indexed citations

20.

Jia, Hongjie, Shifei Ding, & Mingjing Du. (2015). Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors. Cognitive Computation. 7(5). 622–632. 27 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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