Junbo Zhao

5.7k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Junbo Zhao is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, Junbo Zhao has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Industrial and Manufacturing Engineering and 5 papers in Signal Processing. Recurrent topics in Junbo Zhao's work include Machine Learning and Data Classification (6 papers), Machine Learning and Algorithms (4 papers) and Big Data and Business Intelligence (4 papers). Junbo Zhao is often cited by papers focused on Machine Learning and Data Classification (6 papers), Machine Learning and Algorithms (4 papers) and Big Data and Business Intelligence (4 papers). Junbo Zhao collaborates with scholars based in China, United States and Hong Kong. Junbo Zhao's co-authors include Shaokun Fan, Jiajia Shan, Yituo Zhang, Raymond Y.K. Lau, Fengchang Wu, Xue Wang, Lifen Liu, Qi Liu, Yong Ge and Enhong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Junbo Zhao

32 papers receiving 1.1k citations

Hit Papers

Identification of potent ... 2023 2026 2024 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbo Zhao China 13 311 264 189 168 163 40 1.1k
Jian Yu China 23 131 0.4× 129 0.5× 411 2.2× 137 0.8× 104 0.6× 119 1.8k
Lanjun Wang China 20 449 1.4× 29 0.1× 642 3.4× 50 0.3× 7 0.0× 84 1.6k
Jing Huang China 20 22 0.1× 14 0.1× 261 1.4× 107 0.6× 52 0.3× 95 1.6k
Chen Hong China 16 489 1.6× 70 0.3× 29 0.2× 143 0.9× 87 0.5× 94 1.3k
Kun Niu China 19 35 0.1× 22 0.1× 203 1.1× 204 1.2× 19 0.1× 101 1.1k
Bo Yan China 16 202 0.6× 102 0.4× 32 0.2× 24 0.1× 7 0.0× 43 910
Guoqing Zhao China 19 26 0.1× 33 0.1× 66 0.3× 31 0.2× 234 1.4× 71 1.5k
Cristiano Hora Fontes Brazil 15 36 0.1× 31 0.1× 84 0.4× 77 0.5× 19 0.1× 54 752

Countries citing papers authored by Junbo Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Junbo Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbo Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Junbo Zhao. A scholar is included among the top collaborators of Junbo Zhao 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 Junbo Zhao. Junbo Zhao 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.
Tian, Jiaming, Hao Chen, Haobo Wang, et al.. (2025). LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains. 11927–11965.
2.
Ma, Jiachen, et al.. (2025). Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models. 3141–3157. 1 indexed citations
3.
Azizi, Morteza, et al.. (2025). Advancing outage prediction modeling: Incorporating circuit spatial relationships with graph neural networks and lidar-derived tree risk. Reliability Engineering & System Safety. 265. 111579–111579.
4.
Zhao, Junbo, Tingting Wang, Bin Wang, et al.. (2025). Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study. Journal of Cardiothoracic Surgery. 20(1). 246–246. 1 indexed citations
5.
Hu, Di, et al.. (2025). Research on active advance support technology of mining roadway under hard roof condition. Scientific Reports. 15(1). 25172–25172.
7.
Fu, Yao, et al.. (2024). Comparison of economic burden of disease and quality of life in patients with premature ejaculation and erectile dysfunction. Scientific Reports. 14(1). 27374–27374. 2 indexed citations
8.
Feng, Lei, et al.. (2024). Targeted Representation Alignment for Open-World Semi-Supervised Learning. 23072–23082. 3 indexed citations
9.
Lin, Long, et al.. (2024). Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. 23138–23147. 2 indexed citations
10.
Wang, Haobo, et al.. (2024). Towards Cross-Table Masked Pretraining for Web Data Mining. 4449–4459. 4 indexed citations
11.
Zhu, Zhen, Soohyun Yang, Long Lin, et al.. (2024). CORAL: Collaborative Automatic Labeling System Based on Large Language Models. Proceedings of the VLDB Endowment. 17(12). 4401–4404.
12.
Xu, Yanchao, et al.. (2023). Fuse feeds as one: cross-modal framework for general identification of AMPs. Briefings in Bioinformatics. 24(6). 10 indexed citations
13.
Dong, Yiwen, Haobo Wang, Lei Feng, et al.. (2023). ProMix: Combating Label Noise via Maximizing Clean Sample Utility. 4442–4450. 15 indexed citations
14.
Wang, Haobo, et al.. (2023). PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3183–3198. 20 indexed citations
15.
Dong, Yiwen, et al.. (2023). FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. 14520–14535. 3 indexed citations
16.
Wu, Sai, et al.. (2022). A Comparative Study of in-Database Inference Approaches. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1794–1807. 6 indexed citations
17.
Shan, Jiajia, Junbo Zhao, Lifen Liu, et al.. (2018). A novel way to rapidly monitor microplastics in soil by hyperspectral imaging technology and chemometrics. Environmental Pollution. 238. 121–129. 171 indexed citations
18.
Zhang, Yingsheng, Ming Fan, Bin Gu, et al.. (2018). Business Values/Implications of AI and Machine Learning. 2(3). 121–129. 3 indexed citations
19.
Fan, Shaokun, Raymond Y.K. Lau, & Junbo Zhao. (2015). Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. Big Data Research. 2(1). 28–32. 186 indexed citations
20.
Zheng, Yi, Qi Liu, Enhong Chen, Yong Ge, & Junbo Zhao. (2015). Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers of Computer Science. 10(1). 96–112. 188 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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