Bohan Dai

1.1k total citations
10 papers, 732 citations indexed

About

Bohan Dai is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Bohan Dai has authored 10 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 2 papers in Social Psychology. Recurrent topics in Bohan Dai's work include Hearing Loss and Rehabilitation (3 papers), Neural dynamics and brain function (2 papers) and Speech and Audio Processing (2 papers). Bohan Dai is often cited by papers focused on Hearing Loss and Rehabilitation (3 papers), Neural dynamics and brain function (2 papers) and Speech and Audio Processing (2 papers). Bohan Dai collaborates with scholars based in China, Netherlands and United States. Bohan Dai's co-authors include Chunming Lu, Jing Jiang, Liu Li, Chaozhe Zhu, Danling Peng, Guosheng Ding, Chuansheng Chen, Yuhang Long, Lifen Zheng and Yuxuan Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Bohan Dai

10 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bohan Dai China	6	550	326	128	73	49	10	732
Goh Matsuda Japan	10	328 0.6×	135 0.4×	83 0.6×	115 1.6×	41 0.8×	18	512
Elise A. Piazza United States	13	422 0.8×	160 0.5×	186 1.5×	47 0.6×	58 1.2×	23	652
Carsten Bogler Germany	11	655 1.2×	174 0.5×	199 1.6×	46 0.6×	26 0.5×	25	802
Krystyna Rymarczyk Poland	15	436 0.8×	205 0.6×	218 1.7×	23 0.3×	70 1.4×	31	687
Artur Czeszumski Germany	7	322 0.6×	221 0.7×	73 0.6×	33 0.5×	14 0.3×	11	445
Annerose Engel Germany	12	419 0.8×	288 0.9×	82 0.6×	34 0.5×	13 0.3×	17	530
Trinh Nguyen Austria	13	381 0.7×	278 0.9×	52 0.4×	50 0.7×	10 0.2×	26	677
Arvid Herwig Germany	19	952 1.7×	409 1.3×	210 1.6×	75 1.0×	67 1.4×	38	1.2k
Masamichi J. Hayashi Japan	14	722 1.3×	190 0.6×	171 1.3×	42 0.6×	13 0.3×	27	839
Ezgi Kayhan Germany	12	393 0.7×	205 0.6×	73 0.6×	25 0.3×	15 0.3×	20	595

Countries citing papers authored by Bohan Dai

Since Specialization

Citations

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

Fields of papers citing papers by Bohan Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bohan Dai

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

All Works

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10 of 10 papers shown

1.

Dai, Bohan, Yu Zhai, Yuhang Long, & Chunming Lu. (2024). How the Listener’s Attention Dynamically Switches Between Different Speakers During a Natural Conversation. Psychological Science. 35(6). 635–652. 5 indexed citations

2.

Chen, Chen, et al.. (2024). Deep correlation network for synthetic speech detection. Applied Soft Computing. 154. 111413–111413. 2 indexed citations

3.

Chen, Chen, et al.. (2023). Twice attention networks for synthetic speech detection. Neurocomputing. 559. 126799–126799. 3 indexed citations

4.

Kösem, Anne, Bohan Dai, James M. McQueen, & Peter Hagoort. (2023). Neural tracking of speech envelope does not unequivocally reflect intelligibility. NeuroImage. 272. 120040–120040. 10 indexed citations

5.

Dai, Bohan, et al.. (2022). Distracting linguistic information impairs neural tracking of attended speech. SHILAP Revista de lepidopterología. 3. 100043–100043. 11 indexed citations

6.

Dai, Bohan, Chuansheng Chen, Yuhang Long, et al.. (2018). Neural mechanisms for selectively tuning in to the target speaker in a naturalistic noisy situation. Nature Communications. 9(1). 2405–2405. 109 indexed citations

7.

Dai, Bohan, James M. McQueen, Peter Hagoort, & Anne Kösem. (2017). Pure linguistic interference during comprehension of competing speech signals. The Journal of the Acoustical Society of America. 141(3). EL249–EL254. 3 indexed citations

8.

Jiang, Jing, Chuansheng Chen, Bohan Dai, et al.. (2015). Leader emergence through interpersonal neural synchronization. Proceedings of the National Academy of Sciences. 112(14). 4274–4279. 224 indexed citations

9.

Yang, Yanhui, et al.. (2014). White and Grey Matter Changes in the Language Network during Healthy Aging. PLoS ONE. 9(9). e108077–e108077. 3 indexed citations

10.

Jiang, Jing, Bohan Dai, Danling Peng, et al.. (2012). Neural Synchronization during Face-to-Face Communication. Journal of Neuroscience. 32(45). 16064–16069. 362 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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