Wei‐Hung Weng

4.6k total citations · 2 hit papers
25 papers, 1.6k citations indexed

About

Wei‐Hung Weng is a scholar working on Artificial Intelligence, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Wei‐Hung Weng has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Wei‐Hung Weng's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Wei‐Hung Weng is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Wei‐Hung Weng collaborates with scholars based in United States, Taiwan and Singapore. Wei‐Hung Weng's co-authors include Matthew B. A. McDermott, John R. Murphy, Tristan Naumann, Emily Alsentzer, William Boag, Peter Szolovits, Hanyi Fang, Di Jin, Nassim Oufattole and Eileen Pan and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wei‐Hung Weng

24 papers receiving 1.5k 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.

Publicly Available Clinical

2019 781 citations Emily Alsentzer, John R. Murphy et al. profile →
What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams

2021 205 citations Wei‐Hung Weng, Peter Szolovits et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei‐Hung Weng United States	14	1.1k	419	232	185	130	25	1.6k
Christoph M. Friedrich Germany	21	462 0.4×	346 0.8×	168 0.7×	101 0.5×	241 1.9×	118	1.5k
William Speier United States	27	464 0.4×	188 0.4×	384 1.7×	86 0.5×	181 1.4×	90	1.8k
Corey Arnold United States	24	657 0.6×	162 0.4×	430 1.9×	104 0.6×	241 1.9×	105	1.7k
Hong‐Jun Yoon United States	16	586 0.6×	210 0.5×	244 1.1×	55 0.3×	75 0.6×	68	1.0k
Kabilan Elangovan Singapore	7	692 0.7×	137 0.3×	390 1.7×	747 4.0×	70 0.5×	23	1.7k
Matthew B. A. McDermott United States	12	1.0k 1.0×	327 0.8×	316 1.4×	421 2.3×	85 0.7×	23	1.6k
裕二池谷 United States	10	948 0.9×	534 1.3×	122 0.5×	175 0.9×	90 0.7×	19	1.3k
Franck Dernoncourt United States	20	951 0.9×	122 0.3×	99 0.4×	225 1.2×	183 1.4×	102	1.4k
Ricky K. Taira United States	22	626 0.6×	455 1.1×	379 1.6×	43 0.2×	354 2.7×	132	1.6k

Countries citing papers authored by Wei‐Hung Weng

Since Specialization

Citations

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

Fields of papers citing papers by Wei‐Hung Weng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Hung Weng. 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 Wei‐Hung Weng. The network helps show where Wei‐Hung Weng may publish in the future.

Co-authorship network of co-authors of Wei‐Hung Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Hung Weng. A scholar is included among the top collaborators of Wei‐Hung Weng 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 Wei‐Hung Weng. Wei‐Hung Weng 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:

20 of 20 papers shown

Penadés, José R., Juraj Gottweis, Wei‐Hung Weng, et al.. (2025). AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution. Cell. 188(23). 6654–6665.e2.

Weng, Wei‐Hung, Atilla P. Kiraly, Alexander D’Amour, et al.. (2024). An intentional approach to managing bias in general purpose embedding models. The Lancet Digital Health. 6(2). e126–e130. 6 indexed citations

Weng, Wei‐Hung, Sebastien Baur, Christina Chen, et al.. (2024). Predicting cardiovascular disease risk using photoplethysmography and deep learning. SHILAP Revista de lepidopterología. 4(6). e0003204–e0003204. 6 indexed citations

Xue, Mantian, Charles Mackin, Wei‐Hung Weng, et al.. (2022). Integrated biosensor platform based on graphene transistor arrays for real-time high-accuracy ion sensing. Nature Communications. 13(1). 5064–5064. 100 indexed citations

Wei, Ming‐Liang, et al.. (2021). A Study on Applying Slide-Free Label-Free Harmonic Generation Microscopy For Noninvasive Assessment of Melasma Treatments With Histopathological Parameters. IEEE Journal of Selected Topics in Quantum Electronics. 27(4). 1–10. 3 indexed citations

Chen, Richard J., Ming Y. Lu, Wei‐Hung Weng, et al.. (2021). Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3995–4005. 152 indexed citations

Amorim, Edilberto, Shirley Mo, Sebastian Palacios, et al.. (2020). Cost-effectiveness analysis of multimodal prognostication in cardiac arrest with EEG monitoring. Neurology. 95(5). e563–e575. 3 indexed citations

Wang, Shuhang, Wei‐Hung Weng, Xiaohong Wang, et al.. (2020). Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. 732–749. 7 indexed citations

Chen, Yu‐Cheng, Xuzhou Li, Hongbo Zhu, et al.. (2020). Monitoring Neuron Activities and Interactions with Laser Emissions. ACS Photonics. 7(8). 2182–2189. 16 indexed citations

10.

Chung, Yu-An, et al.. (2019). Towards Unsupervised Speech-to-text Translation. 7170–7174. 22 indexed citations

11.

Alsentzer, Emily, John R. Murphy, William Boag, et al.. (2019). Publicly Available Clinical. 72–78. 781 indexed citations breakdown →

12.

Liu, Guanxiong, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, et al.. (2019). Clinically Accurate Chest X-Ray Report Generation.. 249–269. 16 indexed citations

13.

Mao, Hongzi, Parimarjan Negi, Akshay Narayan, et al.. (2019). Park: An Open Platform for Learning-Augmented Computer Systems. DSpace@MIT (Massachusetts Institute of Technology). 32. 2490–2502. 39 indexed citations

14.

Dalal, Sandeep, Wei‐Hung Weng, Thusitha Mabotuwana, et al.. (2019). Determining Follow-Up Imaging Study Using Radiology Reports. Journal of Digital Imaging. 33(1). 121–130. 15 indexed citations

15.

Lu, Shing-Hwa, et al.. (2019). Automated Detection and Segmentation of Brain Metastases in Stereotactic Radiosurgery Using Three-Dimensional Deep Neural Networks. International Journal of Radiation Oncology*Biology*Physics. 105(1). S69–S70. 7 indexed citations

16.

Chung, Yu-An, et al.. (2018). Unsupervised cross-modal alignment of speech and text embedding spaces. Neural Information Processing Systems. 31. 7365–7375. 13 indexed citations

17.

Weng, Wei‐Hung, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, & Henry C. Chueh. (2017). Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Medical Informatics and Decision Making. 17(1). 155–155. 103 indexed citations

18.

Liu, Chun-Hao, Woung‐Ru Tang, Wei‐Hung Weng, Yu‐Hsuan Lin, & Ching-Yen Chen. (2016). The process of coping with stress by Taiwanese medical interns: a qualitative study. BMC Medical Education. 16(1). 10–10. 26 indexed citations

19.

Lin, Yu‐Hsuan, Sheng‐Hsuan Lin, C. Y. Liu, et al.. (2013). Gender differences in cardiac autonomic modulation during medical internship. Psychophysiology. 50(6). 521–527. 20 indexed citations

20.

Weng, Wei‐Hung & Lee‐Yung Shih. (2011). Occurrence of BCR-ABL1-Positive Chronic Myeloid Leukemia following Essential Thrombocythemia. Acta Haematologica. 126(4). 220–223. 1 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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