Bojian Hou

416 total citations
29 papers, 220 citations indexed

About

Bojian Hou is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Bojian Hou has authored 29 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Molecular Biology. Recurrent topics in Bojian Hou's work include Machine Learning in Healthcare (6 papers), Data Stream Mining Techniques (5 papers) and Machine Learning and Data Classification (4 papers). Bojian Hou is often cited by papers focused on Machine Learning in Healthcare (6 papers), Data Stream Mining Techniques (5 papers) and Machine Learning and Data Classification (4 papers). Bojian Hou collaborates with scholars based in United States, China and Poland. Bojian Hou's co-authors include Zhi‐Hua Zhou, Lijun Zhang, Peng Zhao, Mingquan Lin, Yifan Peng, Lei Liu, Yi He, Michael A. Kass, Fei Wang and Mae O. Gordon and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Bojian Hou

21 papers receiving 214 citations

Peers

Bojian Hou
Swarup Kr Ghosh India
Paolo Andreini Italy
K. Saruladha India
Marco Ancona Switzerland
Ambeshwar Kumar India
Toan Tran Vietnam
Yu Deng China
Saeed Ali Bahaj Saudi Arabia
Nitesh Pradhan India
Ali Samad Pakistan
Swarup Kr Ghosh India
Bojian Hou
Citations per year, relative to Bojian Hou Bojian Hou (= 1×) peers Swarup Kr Ghosh

Countries citing papers authored by Bojian Hou

Since Specialization
Citations

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

Fields of papers citing papers by Bojian Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bojian Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Bojian Hou. A scholar is included among the top collaborators of Bojian Hou 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 Bojian Hou. Bojian Hou 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.
Hou, Bojian, et al.. (2025). MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. PubMed. 2025. 5367–5378.
2.
3.
Hou, Bojian, Shuhua Yang, Junhao Wen, et al.. (2024). Interpretable Deep Clustering Survival Machines for Alzheimer's Disease Risk Groups Discovery. Alzheimer s & Dementia. 20(S2).
4.
Yang, Shu Yuan, Bojian Hou, Heng Huang, et al.. (2024). Distance-weighted Sinkhorn loss for Alzheimer’s disease classification. iScience. 27(3). 109212–109212. 2 indexed citations
5.
Wang, Dayang, Fenglei Fan, Bojian Hou, et al.. (2024). Manifoldron: Direct Space Partition via Manifold Discovery. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12311–12325.
6.
Zhou, Zhuoping, et al.. (2024). MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups. PubMed. 22(4). 1299–1310. 1 indexed citations
7.
Li, Dawei, Yang Shu, Sergi Yun, et al.. (2024). DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature. PubMed. 2024. 2187–2205. 10 indexed citations
8.
Xu, Jia, Tong Wei, Bojian Hou, George Demiris, & Li Shen. (2024). Revolutionizing Dementia Care: Enhancing Talk Therapy with Fine‐Tuned Large Language Models Using GPT Self‐Generated Data. Alzheimer s & Dementia. 20(S4).
9.
Hou, Bojian, et al.. (2024). PFERM: A Fair Empirical Risk Minimization Approach with Prior Knowledge.. PubMed. 2024. 211–220. 1 indexed citations
10.
Hou, Bojian, Jingxuan Bao, Junhao Wen, et al.. (2024). Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery. Medical Image Analysis. 97. 103231–103231. 3 indexed citations
11.
Hou, Bojian, Hao Zhang, Xiaoge Zhang, et al.. (2024). Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. IEEE Transactions on Artificial Intelligence. 5(9). 4723–4737. 1 indexed citations
12.
Lin, Mingquan, Bojian Hou, Swati Mishra, et al.. (2023). Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. Computers in Biology and Medicine. 159. 106962–106962. 5 indexed citations
13.
Hou, Bojian, et al.. (2023). Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. Lecture notes in computer science. 14349. 144–154.
14.
Hou, Bojian, et al.. (2023). Fairness-Aware Class Imbalanced Learning on Multiple Subgroups.. PubMed. 216. 2123–2133. 3 indexed citations
15.
Zhou, Zhuoping, et al.. (2023). Multi-Group Tensor Canonical Correlation Analysis. PubMed. 2023. 1–10.
16.
Lin, Mingquan, Bojian Hou, Lei Liu, et al.. (2022). Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning. Scientific Reports. 12(1). 14080–14080. 28 indexed citations
17.
Hou, Bojian, et al.. (2021). Storage Fit Learning with Feature Evolvable Streams. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7729–7736. 19 indexed citations
18.
Hou, Bojian, Lijun Zhang, & Zhi‐Hua Zhou. (2021). Prediction With Unpredictable Feature Evolution. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5706–5715. 28 indexed citations
19.
Hou, Bojian & Zhi‐Hua Zhou. (2020). Learning With Interpretable Structure From Gated RNN. IEEE Transactions on Neural Networks and Learning Systems. 31(7). 1–13. 64 indexed citations
20.
Hou, Bojian & Zhi‐Hua Zhou. (2018). Learning with Interpretable Structure from RNN.. arXiv (Cornell University). 11 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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