Xiangjun Dong

1.6k total citations
98 papers, 1.0k citations indexed

About

Xiangjun Dong is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Xiangjun Dong has authored 98 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Information Systems, 40 papers in Artificial Intelligence and 36 papers in Computational Theory and Mathematics. Recurrent topics in Xiangjun Dong's work include Data Mining Algorithms and Applications (49 papers), Rough Sets and Fuzzy Logic (35 papers) and Imbalanced Data Classification Techniques (23 papers). Xiangjun Dong is often cited by papers focused on Data Mining Algorithms and Applications (49 papers), Rough Sets and Fuzzy Logic (35 papers) and Imbalanced Data Classification Techniques (23 papers). Xiangjun Dong collaborates with scholars based in China, Australia and Russia. Xiangjun Dong's co-authors include Longbing Cao, Yongshun Gong, Tiantian Xu, Long Zhao, Yuhai Zhao, Ying Yin, Zhigang Zheng, Min Xing, Yan Sun and Weiyang Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Xiangjun Dong

90 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangjun Dong China 19 544 486 305 177 131 98 1.0k
Feng Jiang China 18 342 0.6× 755 1.6× 311 1.0× 119 0.7× 163 1.2× 82 1.2k
Jitender Kumar Chhabra India 21 782 1.4× 699 1.4× 169 0.6× 67 0.4× 298 2.3× 95 1.5k
Mohammad A. Hassonah Jordan 11 219 0.4× 635 1.3× 116 0.4× 88 0.5× 193 1.5× 12 978
Saeed Jalili Iran 18 335 0.6× 510 1.0× 76 0.2× 131 0.7× 252 1.9× 92 981
He Jiang China 25 1.3k 2.3× 634 1.3× 142 0.5× 330 1.9× 378 2.9× 161 1.8k
Bahman Arasteh Iran 19 385 0.7× 385 0.8× 81 0.3× 165 0.9× 443 3.4× 100 1.2k
Ming‐Chao Chiang Taiwan 16 337 0.6× 436 0.9× 103 0.3× 113 0.6× 541 4.1× 83 1.3k
Yailé Caballero Mota Cuba 12 221 0.4× 832 1.7× 128 0.4× 82 0.5× 116 0.9× 45 1.1k
Yin‐Fu Huang Taiwan 14 301 0.6× 400 0.8× 168 0.6× 152 0.9× 317 2.4× 79 1.0k
Zhihai Wang China 12 294 0.5× 787 1.6× 86 0.3× 182 1.0× 112 0.9× 47 1.1k

Countries citing papers authored by Xiangjun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangjun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangjun Dong. A scholar is included among the top collaborators of Xiangjun Dong 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 Xiangjun Dong. Xiangjun Dong 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.
Dong, Xiangjun, et al.. (2025). TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. Information Processing & Management. 62(3). 104077–104077. 1 indexed citations
2.
Xu, Min, et al.. (2025). Progress on the application of deep learning in gearbox fault diagnosis. Measurement Science and Technology. 36(10). 102003–102003. 1 indexed citations
3.
Xiao, Ke, Xiangjun Dong, Lei Guo, et al.. (2025). HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns. Information Processing & Management. 63(2). 104402–104402.
4.
Ren, Xiaoqiang, Xiangjun Dong, Long Zhao, et al.. (2024). Mining actionable repetitive positive and negative sequential patterns. Knowledge-Based Systems. 302. 112398–112398. 3 indexed citations
5.
Cheng, Jinyong, et al.. (2024). Spatial-Spectral–Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 4 indexed citations
6.
Liang, Ke, Lingyuan Meng, Sihang Zhou, et al.. (2024). MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10645–10653. 20 indexed citations
7.
Wang, Qi, et al.. (2024). A survey on fault diagnosis of rotating machinery based on machine learning. Measurement Science and Technology. 35(10). 102001–102001. 20 indexed citations
8.
Gong, Yongshun, Xiaoming Wu, Xiangjun Dong, et al.. (2024). Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information. Neural Networks. 182. 106900–106900. 1 indexed citations
9.
Liu, Jiao, et al.. (2023). Improved ReliefF-based feature selection algorithm for cancer histology. Biomedical Signal Processing and Control. 85. 104980–104980. 6 indexed citations
10.
Liang, Ke, Yue Liu, Sihang Zhou, et al.. (2023). Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Transactions on Knowledge and Data Engineering. 36(1). 226–238. 69 indexed citations
11.
Lv, Guohua, et al.. (2023). Spectral–Spatial–Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 7 indexed citations
12.
Dong, Xiangjun, et al.. (2023). Dual objective bounded abstaining model to control performance for safety-critical applications. Engineering Applications of Artificial Intelligence. 126. 106762–106762.
13.
Zhao, Long, et al.. (2023). Extended natural neighborhood for SMOTE and its variants in imbalanced classification. Engineering Applications of Artificial Intelligence. 124. 106570–106570. 15 indexed citations
14.
Xu, Tiantian, et al.. (2022). A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. Knowledge-Based Systems. 243. 108434–108434. 10 indexed citations
15.
Gong, Yongshun, et al.. (2021). An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1864–1878. 13 indexed citations
16.
Chen, Weiyang, Bo Liao, Xiangjun Dong, et al.. (2017). Segmenting Microscopy Images of Multi-Well Plates Based on Image Contrast. Microscopy and Microanalysis. 23(5). 932–937. 4 indexed citations
17.
Zhao, Long, Tiantian Xu, Hao Feng, & Xiangjun Dong. (2017). Positive and Negative Association Rules Mining for Mental Health Analysis of College Students. Eurasia Journal of Mathematics Science and Technology Education. 13(8). 10 indexed citations
18.
19.
Dong, Xiangjun, et al.. (2011). e-NFIS: Efficient negative frequent itemsets mining only based on positive ones. 517–519. 6 indexed citations
20.

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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