Sangwu Lee

819 total citations · 1 hit paper
7 papers, 434 citations indexed

About

Sangwu Lee is a scholar working on Neurology, Social Psychology and Physiology. According to data from OpenAlex, Sangwu Lee has authored 7 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 2 papers in Social Psychology and 2 papers in Physiology. Recurrent topics in Sangwu Lee's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Voice and Speech Disorders (2 papers) and Emotion and Mood Recognition (1 paper). Sangwu Lee is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Voice and Speech Disorders (2 papers) and Emotion and Mood Recognition (1 paper). Sangwu Lee collaborates with scholars based in United States, Bangladesh and United Kingdom. Sangwu Lee's co-authors include Wasifur Rahman, Ehsan Hoque, Louis–Philippe Morency, Chengfeng Mao, Md. Kamrul Hasan, AmirAli Bagher Zadeh, Rada Mihalcea, Amir Zadeh, Jamie Adams and Ruth B. Schneider and has published in prestigious journals such as npj Digital Medicine, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and PubMed.

In The Last Decade

Sangwu Lee

6 papers receiving 423 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrating Multimodal Information in Large Pretrained Transformers

2020 351 citations Wasifur Rahman, Md. Kamrul Hasan et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sangwu Lee United States	5	319	121	120	73	41	7	434
Wasifur Rahman United States	7	335 1.1×	125 1.0×	130 1.1×	74 1.0×	47 1.1×	13	480
Yiqin Zhao United States	7	102 0.3×	168 1.4×	45 0.4×	156 2.1×	12 0.3×	13	251
Chengfeng Mao United States	3	291 0.9×	106 0.9×	102 0.8×	65 0.9×	20 0.5×	4	367
Changzeng Fu Japan	9	80 0.3×	84 0.7×	43 0.4×	29 0.4×	77 1.9×	35	213
Xavier Bouthillier Canada	3	109 0.3×	154 1.3×	149 1.2×	48 0.7×	20 0.5×	4	293
David Suendermann‐Oeft United States	10	275 0.9×	55 0.5×	21 0.2×	66 0.9×	28 0.7×	44	380
Eli Pincus United States	4	368 1.2×	180 1.5×	132 1.1×	90 1.2×	29 0.7×	9	462
Dmitri Bitouk United States	5	99 0.3×	145 1.2×	336 2.8×	163 2.2×	18 0.4×	9	487
Thomas Manzini United States	5	282 0.9×	115 1.0×	114 0.9×	80 1.1×	25 0.6×	14	364
Moitreya Chatterjee United States	7	105 0.3×	71 0.6×	127 1.1×	16 0.2×	29 0.7×	18	259

Countries citing papers authored by Sangwu Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sangwu Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwu Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Islam, Md. Saiful, Sangwu Lee, Wasifur Rahman, et al.. (2025). AI-Enabled Parkinson’s Disease Screening Using Smile Videos. NEJM AI. 2(7).

2.

Freyberg, Jan, et al.. (2025). Accessible, At-Home Detection of Parkinson’s Disease via Multi-Task Video Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 39(27). 28125–28133. 2 indexed citations

3.

Rahman, Wasifur, et al.. (2023). A User-Centered Framework to Empower People with Parkinson's Disease. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(4). 1–29. 4 indexed citations

4.

Islam, Md. Saiful, Wasifur Rahman, Sangwu Lee, et al.. (2023). Using AI to measure Parkinson’s disease severity at home. npj Digital Medicine. 6(1). 156–156. 26 indexed citations

5.

Lee, Sangwu, Wasifur Rahman, Amir Zadeh, et al.. (2021). Humor Knowledge Enriched Transformer for Understanding Multimodal Humor. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12972–12980. 45 indexed citations

6.

Rahman, Wasifur, Md. Kamrul Hasan, Sangwu Lee, et al.. (2020). Integrating Multimodal Information in Large Pretrained Transformers. PubMed. 2020. 2359–2369. 351 indexed citations breakdown →

7.

Hasan, K. M. Azharul, et al.. (2019). Facial Expression Based Imagination Index and a Transfer Learning Approach to Detect Deception. 634–640. 6 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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