Junwen Bai

589 total citations
22 papers, 325 citations indexed

About

Junwen Bai is a scholar working on Artificial Intelligence, Materials Chemistry and Signal Processing. According to data from OpenAlex, Junwen Bai has authored 22 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Materials Chemistry and 3 papers in Signal Processing. Recurrent topics in Junwen Bai's work include Machine Learning in Materials Science (4 papers), Speech Recognition and Synthesis (4 papers) and Catalysis and Oxidation Reactions (3 papers). Junwen Bai is often cited by papers focused on Machine Learning in Materials Science (4 papers), Speech Recognition and Synthesis (4 papers) and Catalysis and Oxidation Reactions (3 papers). Junwen Bai collaborates with scholars based in United States, China and Canada. Junwen Bai's co-authors include Carla P. Gomes, Ariel Ortiz‐Bobea, John M. Gregoire, Yexiang Xue, Johan Björck, Tara N. Sainath, Richard Bernstein, Santosh K. Suram, R. B. van Dover and Brendan Rappazzo and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and TrAC Trends in Analytical Chemistry.

In The Last Decade

Junwen Bai

16 papers receiving 311 citations

Peers

Junwen Bai

EEE

Pengfei Wu China

R. Alejo Mexico

Lixin Guan China

Georgi Georgiev Bulgaria

Min Yu China

Xiaoyan Shao China

Kuntal Kumar Pal United States

Markus Götz Germany

Jingfeng Zhang China

Yiming Jiang China

Pengfei Wu China

Junwen Bai

164 ×1.3

87 ×1.0

24 ×0.5

61 ×2.3

EEE

7 ×0.3

Citations per year, relative to Junwen Bai Junwen Bai (= 1×) peers Pengfei Wu

Countries citing papers authored by Junwen Bai

Since Specialization

Citations

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

Fields of papers citing papers by Junwen Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwen Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Junwen Bai. A scholar is included among the top collaborators of Junwen Bai 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 Junwen Bai. Junwen Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bai, Junwen, et al.. (2025). Success of DeepSeek and potential benefits of free access to AI for global-scale use. International journal of agricultural and biological engineering. 18(1). 304–306.

Wang, Chen, et al.. (2025). Recent advances in terahertz biochemical sensing technology: principles, evolution and applications. TrAC Trends in Analytical Chemistry. 191. 118362–118362. 6 indexed citations

Wang, Zhiyong, et al.. (2025). KIF20A promotes triple-negative breast cancer progression via activation of the IL-17 signaling pathway. Biochemical and Biophysical Research Communications. 770. 152031–152031.

Bai, Junwen, et al.. (2024). Ethical and strategic challenges of AI weapons: A call for global action. International journal of agricultural and biological engineering. 17(5). 293–294.

Mujumdar, Arun S., et al.. (2024). Chatbots: a critical look into the future of the academia. International journal of agricultural and biological engineering. 17(2). 287–288.

Li, Bo, Chao Zhang, Chung‐Cheng Chiu, et al.. (2024). Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. 2078–2093. 1 indexed citations

Bai, Junwen, et al.. (2024). Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. 10841–10845. 2 indexed citations

Li, Bo, Zhouyuan Huo, Junwen Bai, et al.. (2023). Efficient Domain Adaptation for Speech Foundation Models. 1–5. 11 indexed citations

Zhou, Liheng, Shuguang Xu, Xiaohong Xue, et al.. (2022). Abstract P2-12-02: Efficacy, safety and survival of neoadjuvant chemotherapy with different estrogen deprivation stratified by menstrual status versus chemotherapy alone in locally advanced breast cancer (SHPD002)—— A randomized multicentre, open-label, phase 3 Triab. Cancer Research. 82(4_Supplement). P2–12.

10.

Bai, Junwen, et al.. (2022). A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 11873–11881. 63 indexed citations

11.

Bai, Junwen, Bo Li, Yu Zhang, et al.. (2022). Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6402–6406. 33 indexed citations

12.

Zhao, Wenting, Shufeng Kong, Junwen Bai, Daniel Fink, & Carla P. Gomes. (2021). HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 15016–15024. 11 indexed citations

13.

Bai, Junwen, et al.. (2020). Predicting the Incidence and Prognosis of Bone Metastatic Breast Cancer: A SEER‐Based Observational Study. BioMed Research International. 2020(1). 1068202–1068202. 5 indexed citations

14.

Kong, Shufeng, Junwen Bai, Jae Hee Lee, et al.. (2020). Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. 4375–4381. 11 indexed citations

15.

Bai, Junwen, Zihang Lai, Runzhe Yang, et al.. (2019). Imitation Refinement for X-ray Diffraction Signal Processing. 3337–3341. 4 indexed citations

16.

Gomes, Carla P., Junwen Bai, Yexiang Xue, et al.. (2019). CRYSTAL: a multi-agent AI system for automated mapping of materials’ crystal structures. MRS Communications. 9(2). 600–608. 26 indexed citations

17.

Yang, Guandao, et al.. (2019). SWALP : Stochastic Weight Averaging in Low-Precision Training. arXiv (Cornell University). 7015–7024. 13 indexed citations

18.

Bai, Junwen, et al.. (2017). MicroRNA‑320 inhibits cell proliferation and invasion in breast cancer cells by targeting SOX4. Oncology Letters. 14(6). 7145–7152. 16 indexed citations

19.

Xue, Yexiang, Junwen Bai, Ronan Le Bras, et al.. (2017). Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 31(2). 4635–4642. 5 indexed citations

20.

Suram, Santosh K., Yexiang Xue, Junwen Bai, et al.. (2016). Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V–Mn–Nb Oxide System. ACS Combinatorial Science. 19(1). 37–46. 61 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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