Hua Xu

17.5k total citations · 1 hit paper
399 papers, 9.1k citations indexed

About

Hua Xu is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Hua Xu has authored 399 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Molecular Biology, 171 papers in Artificial Intelligence and 30 papers in Computational Theory and Mathematics. Recurrent topics in Hua Xu's work include Biomedical Text Mining and Ontologies (175 papers), Topic Modeling (108 papers) and Natural Language Processing Techniques (65 papers). Hua Xu is often cited by papers focused on Biomedical Text Mining and Ontologies (175 papers), Topic Modeling (108 papers) and Natural Language Processing Techniques (65 papers). Hua Xu collaborates with scholars based in United States, China and United Kingdom. Hua Xu's co-authors include Yonghui Wu, Joshua C. Denny, Min Jiang, Yaoyun Zhang, Yukun Chen, Qiang Wei, Buzhou Tang, Jingchun Sun, Jingqi Wang and S. Trent Rosenbloom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Hua Xu

370 papers receiving 8.9k citations

Hit Papers

Deep learning in clinical natural language processing: a ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Xu United States 48 4.4k 4.4k 1.0k 651 494 399 9.1k
Hongfang Liu United States 42 3.5k 0.8× 3.7k 0.8× 1.0k 1.0× 404 0.6× 562 1.1× 402 8.4k
Yuan Luo United States 57 3.5k 0.8× 3.6k 0.8× 812 0.8× 381 0.6× 855 1.7× 373 12.8k
Carol Friedman United States 48 3.8k 0.9× 2.5k 0.6× 649 0.6× 1.1k 1.7× 498 1.0× 156 7.1k
Jan A. Kors Netherlands 53 2.6k 0.6× 1.8k 0.4× 304 0.3× 445 0.7× 783 1.6× 282 12.9k
Christopher G. Chute United States 59 5.5k 1.2× 4.8k 1.1× 2.0k 1.9× 332 0.5× 1.4k 2.9× 351 14.9k
Zhiyong Lu United States 52 6.3k 1.4× 5.6k 1.3× 274 0.3× 983 1.5× 202 0.4× 241 10.3k
Martijn J. Schuemie United States 48 1.8k 0.4× 1.5k 0.4× 707 0.7× 502 0.8× 703 1.4× 194 8.5k
George Hripcsak United States 63 5.2k 1.2× 5.3k 1.2× 3.9k 3.8× 867 1.3× 1.4k 2.9× 371 17.0k
Nigam H. Shah United States 62 5.5k 1.3× 5.2k 1.2× 1.6k 1.6× 992 1.5× 1.4k 2.8× 287 15.5k
Yonghui Wu United States 47 1.5k 0.3× 7.8k 1.8× 435 0.4× 329 0.5× 272 0.6× 171 10.6k

Countries citing papers authored by Hua Xu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Xu. A scholar is included among the top collaborators of Hua Xu 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 Hua Xu. Hua Xu 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.
Dhingra, Lovedeep Singh, Arya Aminorroaya, Girish N. Nadkarni, et al.. (2025). Automated transformation of unstructured cardiovascular diagnostic reports into structured datasets using sequentially deployed large language models. European Heart Journal - Digital Health. 6(4). 783–796. 1 indexed citations
2.
Han, Yue, Liang Zhang, Hua Xu, et al.. (2024). In situ and one-step electrodeposition growth of PtNi alloys on Ni foam for electrochemical ammonia-nitrogen sensing. Materials Today Communications. 41. 110649–110649. 2 indexed citations
3.
Fu, Sunyang, Maria Vassilaki, Vipina K. Keloth, et al.. (2024). FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. Journal of Biomedical Informatics. 152. 104623–104623. 4 indexed citations
4.
Zhang, Ning, et al.. (2024). Techno-economic evaluation and optimized design of new trigeneration system for residential buildings. Journal of Cleaner Production. 440. 140917–140917. 4 indexed citations
5.
Wang, Bo, Hao Lin, Ting Ding, et al.. (2024). Water‐Assisted Synthesis of Layer‐Controlled CsPbBr3 Nanoplates Spontaneously Encapsulated in PbBr(OH). Advanced Optical Materials. 12(19). 4 indexed citations
6.
Xu, Hua, et al.. (2024). Reflections from Chinese and Japanese Physicians on Medical Disputes. Asian Bioethics Review. 16(4). 683–709. 1 indexed citations
7.
Bastarache, Lisa, et al.. (2024). Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models. PubMed. 8(2). 438–461. 26 indexed citations
8.
Huang, Liang‐Chin, Surabhi Datta, Mitchell K. Higashi, et al.. (2024). Unveiling consistency: A large-scale analysis of conference proceedings and subsequent publications in oncology clinical trials using large language models.. Journal of Clinical Oncology. 42(16_suppl). 7568–7568. 1 indexed citations
10.
Yang, Rui, Benjamin Rosand, Tiarnán D L Keenan, et al.. (2024). Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study. Journal of Medical Internet Research. 26. e60601–e60601. 7 indexed citations
11.
Hu, Yan, Vipina K. Keloth, Kalpana Raja, Yong Chen, & Hua Xu. (2023). Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach. Bioinformatics. 39(9). 10 indexed citations
12.
Zhao, Feng, Jian Geng, Jingyu Liu, et al.. (2023). Negatively charged bladder acellular matrix loaded with positively charged adipose-derived mesenchymal stem cell-derived small extracellular vesicles for bladder tissue engineering. Journal of Controlled Release. 364. 718–733. 6 indexed citations
13.
Maghsoudi, Arash, Sara Nowakowski, Amir Sharafkhaneh, et al.. (2022). Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study. Journal of Medical Internet Research. 24(12). e41517–e41517. 5 indexed citations
14.
Xu, Hua, et al.. (2022). Factors Associated With COVID-19 Death in the United States: Cohort Study. JMIR Public Health and Surveillance. 8(5). e29343–e29343. 15 indexed citations
15.
Duan, Rui, Chongliang Luo, Martijn J. Schuemie, et al.. (2020). Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. Journal of the American Medical Informatics Association. 27(7). 1028–1036. 43 indexed citations
16.
Xu, Hua, et al.. (2019). Conformance Assessment of PD-L1 Expression Between Primary Tumour and Nodal Metastases in Non-Small-Cell Lung Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Xu, Hua, et al.. (2019). Anti-tumor effect of aloe-emodin on cervical cancer cells was associated with human papillomavirus E6/E7 and glucose metabolism. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Xu, Jun, Heejin Lee, Zongcheng Ji, et al.. (2017). UTH_CCB System for Adverse Drug Reaction Extraction from Drug Labels at TAC-ADR 2017.. Theory and applications of categories. 14 indexed citations
19.
Sittig, Dean F., et al.. (2014). Quality of care metric reporting from clinical narratives: Assessing ontology components. 1327. 47–51. 1 indexed citations
20.
Mani, Subramani, Yukun Chen, Xia Li, et al.. (2013). Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. Journal of the American Medical Informatics Association. 20(4). 688–695. 40 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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