Hongbin Dong

2.2k total citations
119 papers, 1.6k citations indexed

About

Hongbin Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hongbin Dong has authored 119 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Hongbin Dong's work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Hongbin Dong is often cited by papers focused on Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Hongbin Dong collaborates with scholars based in China, United States and United Kingdom. Hongbin Dong's co-authors include Vasilis Vasiliou, Daniel W. Nebert, Rui Ding, David C. Thompson, Howard G. Shertzer, Ying Chen, Jun He, Shuang Han, Guisheng Yin and Qiang Fu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Hongbin Dong

108 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbin Dong China 21 493 343 226 169 122 119 1.6k
Henrik Boström Sweden 27 854 1.7× 518 1.5× 275 1.2× 142 0.8× 87 0.7× 167 2.4k
M. Daszykowski Poland 29 353 0.7× 905 2.6× 241 1.1× 160 0.9× 48 0.4× 79 3.1k
Xiaotong Lin China 19 489 1.0× 591 1.7× 97 0.4× 210 1.2× 22 0.2× 54 2.1k
Qian Zhu China 19 272 0.6× 633 1.8× 224 1.0× 68 0.4× 50 0.4× 128 1.7k
Qi Huang China 24 338 0.7× 485 1.4× 43 0.2× 210 1.2× 105 0.9× 164 2.3k
Wei Xie China 19 186 0.4× 332 1.0× 81 0.4× 74 0.4× 140 1.1× 61 2.3k
Felix Agakov United Kingdom 21 463 0.9× 549 1.6× 77 0.3× 174 1.0× 18 0.1× 44 2.3k
Tingting He China 26 286 0.6× 1.4k 4.2× 144 0.6× 90 0.5× 205 1.7× 201 2.7k

Countries citing papers authored by Hongbin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hongbin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbin Dong. A scholar is included among the top collaborators of Hongbin 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 Hongbin Dong. Hongbin 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.
Liu, Qingfei, et al.. (2025). Multimodal uncertainty state-space fusion network with generative endmember modeling for hyperspectral unmixing. Information Fusion. 127. 103712–103712.
2.
Wen, Xiaoyan, et al.. (2024). Learning a 3-D-CNN and Convolution Transformers for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 14 indexed citations
3.
Guo, Wendi, Hongbin Dong, & Xing Wang. (2024). Emerging roles of hydrogel in promoting periodontal tissue regeneration and repairing bone defect. Frontiers in Bioengineering and Biotechnology. 12. 1380528–1380528. 8 indexed citations
4.
Lan, Zhang, Jing Gao, Qi Wu, et al.. (2024). Theoretical exploration on the combined effect of isoelectron B-N bonds and B-N resonance skeleton on the thermally activated delayed fluorescence property. Organic Electronics. 136. 107154–107154. 2 indexed citations
5.
Dong, Hongbin, et al.. (2023). Improving Pre-Training and Fine-Tuning for Few-Shot SAR Automatic Target Recognition. Remote Sensing. 15(6). 1709–1709. 10 indexed citations
6.
Dong, Hongbin, et al.. (2023). A Spatio-Temporal Task Allocation Model in Mobile Crowdsensing Based on Knowledge Graph. Smart Cities. 6(4). 1937–1957. 1 indexed citations
7.
Yang, Chule, et al.. (2022). MSIF: Multisize Inference Fusion-Based False Alarm Elimination for Ship Detection in Large-Scale SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 11 indexed citations
8.
Dong, Hongbin, et al.. (2022). A joint network of non-linear graph attention and temporal attraction force for geo-sensory time series prediction. Applied Intelligence. 53(14). 17346–17362. 5 indexed citations
9.
Dong, Hongbin, et al.. (2019). Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags. Wireless Communications and Mobile Computing. 2019. 1–10. 19 indexed citations
10.
Fu, Qiang, et al.. (2019). Spiking Neurons with Differential Evolution Algorithm for Pattern Classification. 152–157. 2 indexed citations
11.
Dong, Hongbin, et al.. (2017). Adaptive feature selection using v-shaped binary particle swarm optimization. PLoS ONE. 12(3). e0173907–e0173907. 24 indexed citations
12.
Huang, Howard J., et al.. (2016). PM294. Association between polymorphism of COMT gene and domestic violence in Han and Uygur on alcoholics in Xinjiang. The International Journal of Neuropsychopharmacology. 19(Suppl_1). 5–5. 2 indexed citations
13.
Chen, Ying, Surendra Pratap Singh, Akiko Matsumoto, et al.. (2016). Chronic Glutathione Depletion Confers Protection against Alcohol-induced Steatosis: Implication for Redox Activation of AMP-activated Protein Kinase Pathway. Scientific Reports. 6(1). 29743–29743. 37 indexed citations
14.
Dong, Hongbin, et al.. (2013). Mixed Strategy May Outperform Pure Strategy. arXiv (Cornell University). 1 indexed citations
15.
Dong, Hongbin, Howard G. Shertzer, Mary Beth Genter, et al.. (2013). Mitochondrial targeting of mouse NQO1 and CYP1B1 proteins. Biochemical and Biophysical Research Communications. 435(4). 727–732. 21 indexed citations
16.
Dong, Hongbin, Timothy P. Dalton, Marian L. Miller, et al.. (2008). Knock-In Mouse Lines Expressing either Mitochondrial or Microsomal CYP1A1: Differing Responses to Dietary Benzo[a]pyrene as Proof of Principle. Molecular Pharmacology. 75(3). 555–567. 29 indexed citations
17.
Dong, Hongbin. (2007). Study of preparation of matrin nanoemulsion and its anti-oxidation on mice. Journal of Northwest A & F University. 4 indexed citations
18.
Shang, Wenqian, et al.. (2006). Fuzzy kNN Text Classifier Based on Gini Index. Journal of Guangxi Normal University. 24(4). 87–90. 3 indexed citations
19.
Genter, Mary Beth, Corey D. Clay, Timothy P. Dalton, et al.. (2006). Comparison of mouse hepatic mitochondrial versus microsomal cytochromes P450 following TCDD treatment. Biochemical and Biophysical Research Communications. 342(4). 1375–1381. 45 indexed citations
20.
Gong, Xun-Hua, Hongbin Dong, & Shouyang Wang. (2003). Optimality conditions for proper efficient solutions of vector set-valued optimization. Journal of Mathematical Analysis and Applications. 284(1). 332–350. 54 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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