David Hua

939 total citations
23 papers, 706 citations indexed

About

David Hua is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Hua has authored 23 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Hua's work include Glycosylation and Glycoproteins Research (12 papers), Advanced Proteomics Techniques and Applications (7 papers) and HIV Research and Treatment (5 papers). David Hua is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Advanced Proteomics Techniques and Applications (7 papers) and HIV Research and Treatment (5 papers). David Hua collaborates with scholars based in United States and United Arab Emirates. David Hua's co-authors include Heather Desaire, Eden P. Go, Heather Desaire, Barton F. Haynes, Hua‐Xin Liao, S. Munir Alam, Haiyan Chen, Romana Jarošová, Jeffrey A. Anderson and Li‐Hua Ping and has published in prestigious journals such as Analytical Chemistry, Journal of Virology and Analytical and Bioanalytical Chemistry.

In The Last Decade

David Hua

23 papers receiving 695 citations

Peers

David Hua
Dinler A. Antunes United States
Theodora U. J. Bruun United States
Annie Aniana United States
Zhen-Yu J. Sun United States
Jyoti Dev United States
Hani Neuvirth Israel
Amelia Still United States
Christopher T. Lemke Canada
Marie‐Paule Strub France
Thorsten Biet Germany
Dinler A. Antunes United States
David Hua
Citations per year, relative to David Hua David Hua (= 1×) peers Dinler A. Antunes

Countries citing papers authored by David Hua

Since Specialization
Citations

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

Fields of papers citing papers by David Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hua

This figure shows the co-authorship network connecting the top 25 collaborators of David Hua. A scholar is included among the top collaborators of David Hua 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 David Hua. David Hua 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.
Allam, Hesham, et al.. (2025). AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques. Big Data and Cognitive Computing. 9(1). 16–16. 2 indexed citations
2.
Desaire, Heather, et al.. (2024). Almost Nobody Is Using ChatGPT to Write Academic Science Papers (Yet). Big Data and Cognitive Computing. 8(10). 133–133. 1 indexed citations
3.
4.
Desaire, Heather, et al.. (2023). Distinguishing academic science writing from humans or ChatGPT with over 99% accuracy using off-the-shelf machine learning tools. Cell Reports Physical Science. 4(6). 101426–101426. 66 indexed citations
5.
Desaire, Heather, et al.. (2023). Accurately detecting AI text when ChatGPT is told to write like a chemist. Cell Reports Physical Science. 4(11). 101672–101672. 29 indexed citations
6.
Desaire, Heather, Eden P. Go, & David Hua. (2022). Advances, obstacles, and opportunities for machine learning in proteomics. Cell Reports Physical Science. 3(10). 101069–101069. 16 indexed citations
7.
Desaire, Heather, et al.. (2021). The local-balanced model for improved machine learning outcomes on mass spectrometry data sets and other instrumental data. Analytical and Bioanalytical Chemistry. 413(6). 1583–1593. 3 indexed citations
8.
Hua, David & Heather Desaire. (2021). Improved Discrimination of Disease States Using Proteomics Data with the Updated Aristotle Classifier. Journal of Proteome Research. 20(5). 2823–2829. 9 indexed citations
9.
Hua, David, Xin Liu, Eden P. Go, et al.. (2020). How to Apply Supervised Machine Learning Tools to MS Imaging Files: Case Study with Cancer Spheroids Undergoing Treatment with the Monoclonal Antibody Cetuximab. Journal of the American Society for Mass Spectrometry. 31(7). 1350–1357. 10 indexed citations
10.
Su, Xiaomeng, et al.. (2019). DecoyDeveloper: An On-Demand, De Novo Decoy Glycopeptide Generator. Journal of Proteome Research. 18(7). 2896–2902. 11 indexed citations
11.
Hua, David, et al.. (2019). The Aristotle Classifier: Using the Whole Glycomic Profile To Indicate a Disease State. Analytical Chemistry. 91(17). 11070–11077. 14 indexed citations
12.
Hua, David, et al.. (2018). A Preprocessing Method for Improved Compression of Digital Images. 6(1). 32–37. 4 indexed citations
13.
14.
Go, Eden P., Haitao Ding, Shijian Zhang, et al.. (2017). Glycosylation Benchmark Profile for HIV-1 Envelope Glycoprotein Production Based on Eleven Env Trimers. Journal of Virology. 91(9). 65 indexed citations
15.
Go, Eden P., Alon Herschhorn, Christopher Gu, et al.. (2015). Comparative Analysis of the Glycosylation Profiles of Membrane-Anchored HIV-1 Envelope Glycoprotein Trimers and Soluble gp140. Journal of Virology. 89(16). 8245–8257. 78 indexed citations
16.
17.
Go, Eden P., Hua‐Xin Liao, S. Munir Alam, et al.. (2013). Characterization of Host-Cell Line Specific Glycosylation Profiles of Early Transmitted/Founder HIV-1 gp120 Envelope Proteins. Journal of Proteome Research. 12(3). 1223–1234. 88 indexed citations
18.
19.
Hua, David, et al.. (2012). GlycoPep Grader: A Web-Based Utility for Assigning the Composition ofN-Linked Glycopeptides. Analytical Chemistry. 84(11). 4821–4829. 65 indexed citations
20.
Go, Eden P., Hua‐Xin Liao, Haiyan Chen, et al.. (2011). Characterization of Glycosylation Profiles of HIV-1 Transmitted/Founder Envelopes by Mass Spectrometry. Journal of Virology. 85(16). 8270–8284. 99 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dinler A. Antunes Breakdown of academic impact, for papers by Theodora U. J. Bruun Breakdown of academic impact, for papers by Annie Aniana Breakdown of academic impact, for papers by Zhen-Yu J. Sun Breakdown of academic impact, for papers by Jyoti Dev Breakdown of academic impact, for papers by Hani Neuvirth Breakdown of academic impact, for papers by Amelia Still Breakdown of academic impact, for papers by Christopher T. Lemke Breakdown of academic impact, for papers by Marie‐Paule Strub Breakdown of academic impact, for papers by Thorsten Biet
Rankless by CCL
2026