Bo Dong

2.6k total citations · 1 hit paper
111 papers, 1.6k citations indexed

About

Bo Dong is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Bo Dong has authored 111 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 28 papers in Information Systems and 25 papers in Computer Networks and Communications. Recurrent topics in Bo Dong's work include Cloud Computing and Resource Management (17 papers), Imbalanced Data Classification Techniques (16 papers) and Topic Modeling (9 papers). Bo Dong is often cited by papers focused on Cloud Computing and Resource Management (17 papers), Imbalanced Data Classification Techniques (16 papers) and Topic Modeling (9 papers). Bo Dong collaborates with scholars based in China, United States and United Kingdom. Bo Dong's co-authors include Qinghua Zheng, Latifur Khan, Swarup Chandra, Zhuoyi Wang, Ahsanul Haque, Kevin W. Hamlen, Feng Tian, J. F. Qiu, Haifei Li and Jie Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Bo Dong

103 papers receiving 1.4k citations

Hit Papers

FUSION 2017 2026 2020 2023 2017 100 200 300
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.

  1. FUSION
    2017 333 citations Bo Dong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Dong China 18 552 504 399 145 120 111 1.6k
Fahima Hajjej Saudi Arabia 19 382 0.7× 312 0.6× 357 0.9× 149 1.0× 81 0.7× 58 1.3k
Ravi Sharma New Zealand 18 368 0.7× 852 1.7× 198 0.5× 66 0.5× 106 0.9× 129 1.9k
Talha Mahboob Alam Pakistan 23 371 0.7× 230 0.5× 816 2.0× 166 1.1× 23 0.2× 41 1.9k
Paulus Insap Santosa Indonesia 19 464 0.8× 330 0.7× 401 1.0× 160 1.1× 313 2.6× 183 1.7k
Mira Kartiwi Malaysia 26 351 0.6× 319 0.6× 484 1.2× 274 1.9× 52 0.4× 169 2.2k
Shaha Al‐Otaibi Saudi Arabia 15 238 0.4× 192 0.4× 282 0.7× 68 0.5× 87 0.7× 58 908
Ford Lumban Gaol Indonesia 17 420 0.8× 133 0.3× 252 0.6× 97 0.7× 83 0.7× 242 1.1k
Sairam Vakkalanka Sweden 2 852 1.5× 371 0.7× 358 0.9× 98 0.7× 66 0.6× 4 1.7k
Mohammad Yamin Saudi Arabia 20 309 0.6× 333 0.7× 293 0.7× 94 0.6× 236 2.0× 83 1.3k
Asadullah Shah Malaysia 22 457 0.8× 231 0.5× 372 0.9× 214 1.5× 316 2.6× 214 1.8k

Countries citing papers authored by Bo Dong

Since Specialization
Citations

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

Fields of papers citing papers by Bo Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Dong. A scholar is included among the top collaborators of Bo 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 Bo Dong. Bo 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
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Shi, Bin, et al.. (2025). TED: related party transaction guided tax evasion detection on heterogeneous graph. Data Mining and Knowledge Discovery. 39(2). 1 indexed citations
3.
Peng, Zhen, et al.. (2024). Learning dynamic graph representations through timespan view contrasts. Neural Networks. 176. 106384–106384. 1 indexed citations
4.
Dong, Bo, et al.. (2024). RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8246–8254. 1 indexed citations
5.
Feng, Wei, et al.. (2024). Multi-View Clustering Based on Deep Non-negative Tensor Factorization. 1130–1138. 1 indexed citations
6.
7.
Shou, Yuntao, Huan Liu, Xiangyong Cao, Deyu Meng, & Bo Dong. (2024). A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method for Conversational Emotion Recognition. IEEE Transactions on Affective Computing. 16(2). 1177–1189. 9 indexed citations
8.
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Shi, Bin, et al.. (2024). The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21726–21734. 5 indexed citations
10.
Chen, Yanping, et al.. (2023). A deep penetration network for sentence classification. Information Fusion. 95. 174–185. 4 indexed citations
11.
Zheng, Qinghua, et al.. (2023). Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2899–2909. 4 indexed citations
12.
Dong, Bo. (2023). A Systematic Review of the Transactional Leadership Literature and Future Outlook. Academic journal of management and social sciences. 2(3). 21–25. 10 indexed citations
13.
Dong, Bo, et al.. (2023). TikTok video as a health education source of information on heart failure in China: a content analysis. Frontiers in Public Health. 11. 1315393–1315393. 24 indexed citations
14.
Gong, Tieliang, et al.. (2022). Markov Subsampling Based on Huber Criterion. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2250–2262. 2 indexed citations
15.
Gong, Tieliang, et al.. (2022). Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Transactions on Signal Processing. 70. 6170–6184. 2 indexed citations
16.
Dong, Bo, et al.. (2020). Multi-source Machine Learning for AQI Estimation. 4567–4576. 7 indexed citations
17.
Dong, Bo, et al.. (2019). Explainability for Content-Based Image Retrieval. Computer Vision and Pattern Recognition. 95–98. 7 indexed citations
18.
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Xu, Qichao, Zhou Su, Qinghua Zheng, et al.. (2018). Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks. IEEE Internet of Things Journal. 6(3). 4536–4546. 37 indexed citations
20.
Dong, Bo, et al.. (2014). Research of Service Granularity Base on SOA in Railway Information Sharing Platform. 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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