Dongdong Cheng

1.3k total citations
42 papers, 884 citations indexed

About

Dongdong Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Dongdong Cheng has authored 42 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Dongdong Cheng's work include Advanced Clustering Algorithms Research (20 papers), Complex Network Analysis Techniques (14 papers) and Face and Expression Recognition (14 papers). Dongdong Cheng is often cited by papers focused on Advanced Clustering Algorithms Research (20 papers), Complex Network Analysis Techniques (14 papers) and Face and Expression Recognition (14 papers). Dongdong Cheng collaborates with scholars based in China and Japan. Dongdong Cheng's co-authors include Jinlong Huang, Quanwang Wu, Lijun Yang, Qingsheng Zhu, Sulan Zhang, Guoyin Wang, Shuyin Xia, Junnan Li, Ya Li and Xin Luo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Dongdong Cheng

39 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongdong Cheng China 18 694 326 177 169 71 42 884
Jinlong Huang China 17 875 1.3× 384 1.2× 223 1.3× 202 1.2× 92 1.3× 39 1.1k
Mingjing Du China 14 729 1.1× 435 1.3× 180 1.0× 291 1.7× 38 0.5× 26 962
Malay K. Pakhira India 7 569 0.8× 264 0.8× 151 0.9× 82 0.5× 57 0.8× 22 915
Caiming Zhong China 13 369 0.5× 271 0.8× 119 0.7× 121 0.7× 36 0.5× 42 632
Sami Sieranoja Finland 8 483 0.7× 202 0.6× 149 0.8× 112 0.7× 26 0.4× 13 748
Abdolreza Mirzaei Iran 14 466 0.7× 192 0.6× 132 0.7× 71 0.4× 197 2.8× 48 722
Arnaud Martin France 15 474 0.7× 120 0.4× 145 0.8× 63 0.4× 51 0.7× 51 881
Grigorios Tzortzis Greece 9 425 0.6× 386 1.2× 86 0.5× 66 0.4× 62 0.9× 11 717

Countries citing papers authored by Dongdong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Dongdong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Cheng

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

All Works

20 of 20 papers shown
1.
Cheng, Dongdong, et al.. (2024). Granular-ball computing-based manifold clustering algorithms for ultra-scalable data. Expert Systems with Applications. 247. 123313–123313. 15 indexed citations
2.
Cheng, Dongdong, Cheng Zhang, Ya Li, et al.. (2024). GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm. Information Sciences. 674. 120731–120731. 15 indexed citations
3.
Huang, Jinlong, Dongdong Cheng, & Sulan Zhang. (2023). A novel outlier detecting algorithm based on the outlier turning points. Expert Systems with Applications. 231. 120799–120799. 13 indexed citations
4.
Cheng, Dongdong, Jinlong Huang, Sulan Zhang, et al.. (2023). K-Means Clustering With Natural Density Peaks for Discovering Arbitrary-Shaped Clusters. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11077–11090. 41 indexed citations
5.
Wu, Quanwang, et al.. (2023). A co-training method based on parameter-free and single-step unlabeled data selection strategy with natural neighbors. International Journal of Machine Learning and Cybernetics. 14(8). 2887–2902. 2 indexed citations
7.
Cheng, Dongdong, Ya Li, Shuyin Xia, et al.. (2023). A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17202–17215. 50 indexed citations
8.
Cheng, Dongdong, et al.. (2023). Searching natural neighbors in an accelerated way. Engineering Applications of Artificial Intelligence. 126. 107172–107172. 1 indexed citations
9.
Cheng, Dongdong, Cheng Zhang, Ya Li, Shuyin Xia, & Guoyin Wang. (2023). Gb-Dbscan: A Fast Granular-Ball Based Dbscan Clustering Algorithm. SSRN Electronic Journal. 1 indexed citations
10.
Zhang, Sulan, et al.. (2022). A GA and SVM Classification Model for Pine Wilt Disease Detection Using UAV-Based Hyperspectral Imagery. Applied Sciences. 12(13). 6676–6676. 40 indexed citations
11.
Cheng, Dongdong, et al.. (2021). Dense-connected global covariance network with edge sample constraint for SAR image classification. Remote Sensing Letters. 12(6). 553–562. 2 indexed citations
12.
Cheng, Dongdong, Jinlong Huang, Sulan Zhang, Xiaohua Zhang, & Xin Luo. (2021). A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2348–2360. 46 indexed citations
13.
Zhu, Fan, et al.. (2021). Density decay graph-based density peak clustering. Knowledge-Based Systems. 224. 107075–107075. 32 indexed citations
14.
Cheng, Dongdong, Sulan Zhang, & Jinlong Huang. (2020). Dense members of local cores-based density peaks clustering algorithm. Knowledge-Based Systems. 193. 105454–105454. 39 indexed citations
15.
Cheng, Dongdong, et al.. (2019). Improved Density Peaks Clustering Based on Shared-Neighbors of Local Cores for Manifold Data Sets. IEEE Access. 7. 151339–151349. 5 indexed citations
16.
Huang, Jinlong, Ru Xu, Dongdong Cheng, Sulan Zhang, & Ke-ke Shang. (2019). A Novel Hybrid Clustering Algorithm Based on Minimum Spanning Tree of Natural Core Points. IEEE Access. 7. 43707–43720. 9 indexed citations
17.
Cheng, Dongdong, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, & Lijun Yang. (2018). A Novel Cluster Validity Index Based on Local Cores. IEEE Transactions on Neural Networks and Learning Systems. 30(4). 985–999. 91 indexed citations
18.
Yang, Lijun, Qingsheng Zhu, Jinlong Huang, & Dongdong Cheng. (2016). Adaptive edited natural neighbor algorithm. Neurocomputing. 230. 427–433. 41 indexed citations
19.
Zhu, Qingsheng, Dongdong Cheng, & Jinlong Huang. (2015). A Hierarchical Clustering Algorithm Based on Saturated Neighbor Graph. 20. 47–50. 1 indexed citations
20.
Cheng, Dongdong. (2007). Effective depth of vacuum preloading for reinforcing soft soil. 1 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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