Lu He

25 papers receiving 325 citations

Peers

Lu He
Comparison fields: 5 of 103
  • Health Informatics 15
  • Communication 37
  • Modeling and Simulation 23
  • Health 25
  • Health Information Management 10
Replace Mohammad Al-Ramahi with:
Mohammad Al-Ramahi United States
Mirjam A. Jenny Germany
Aravind Sesagiri Raamkumar Singapore
Gaurav Tuli United States
Patrick Cheong‐Iao Pang Macao
Sneha Jha India
Matthew Nali United States
Chengda Zheng Canada
Vidya Purushothaman United States
Xiaolei Huang United States
Lu He relative to Mohammad Al-Ramahi United States Mohammad Al-Ramahi's profile →
Citations per field
00.5×5.2×
Mohammad Al-Ramahi · 1×
Citations per year

Countries citing papers authored by Lu He

Since Specialization
Citations

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

Fields of papers citing papers by Lu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lu He Line = papers co-authored together Lu He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 202354
3 202125
4 200920
5 202219
6 202119
7 202218
8 202217
9 202314
10 202213
11 202010
12 20228
13 20147
14 20217
15
What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis.
20206
16 20235
17 20195
18 20235
19 20245
20
Public Opinions toward COVID-19 Vaccine Mandates: A Machine Learning-based Analysis of U.S. Tweets
20224

About Lu He

Lu He is a scholar working on Sociology and Political Science, Communication, Artificial Intelligence, Molecular Biology and Health, having authored 32 papers that have together received 331 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (4 papers), Public Relations and Crisis Communication (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 Pandemic Impacts (3 papers), Social Media and Politics (2 papers), COVID-19 diagnosis using AI (2 papers), Mental Health via Writing (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Health Informatics (15 citations), Communication (37 citations), Modeling and Simulation (23 citations), Health (25 citations) and Health Information Management (10 citations). Lu He has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Kai Zheng, Jiancheng Ye, Molly Beestrum, Bo Li, Tun Lu, Yunan Chen, Chen Li, Tera L Reynolds, Xuekun Zhang and Yourong Chai. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, BMC Public Health, Journal of the American Medical Informatics Association, Journal of Medical Systems and Journal of Industrial and Production Engineering.

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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