Wang Hu

70 papers receiving 1.5k citations

Wang Hu's Hit Papers

Factors influencing the adoption of mHealth services in a developing country: A patient-centric study 2019 · 246 citations
2460+2+4Years since publication50100150200

Peers

Wang Hu
Comparison fields: 5 of 155
  • Information Systems and Management 344
  • Oral Surgery 251
  • Otorhinolaryngology 139
  • Human-Computer Interaction 93
  • Marketing 138
Replace Matthew C. Davis with:
Matthew C. Davis United States
Jun Ye China
Jan Carel Diehl Netherlands
Muhammad Khan Pakistan
Weining Liu China
Xinli Zhang China
Liu We China
Chao Long United States
Scott R. Winter United States
Antonio Santisteban‐Espejo Spain
Wang Hu relative to Matthew C. Davis United States Matthew C. Davis's profile →
Citations per field
00.5×10×15×19.9×
Matthew C. Davis · 1×
Citations per year

Countries citing papers authored by Wang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Hu, 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 Wang Hu Line = papers co-authored together Wang Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004261
2
Factors influencing the adoption of mHealth services in a developing country: A patient-centric study
Hit paper breakdown →
2019246
3 2012160
4 2020141
5 2011119
6 201296
7 202150
8 201848
9 201946
10 202044
11 202038
12 200834
13 202128
14 202227
15 201623
16 202218
17 201718
18 202115
19 201211
20 202010

About Wang Hu

Wang Hu is a scholar working on Sociology and Political Science, Information Systems and Management, Organizational Behavior and Human Resource Management, Control and Systems Engineering and Artificial Intelligence, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (13 papers), Digital Marketing and Social Media (12 papers), Customer Service Quality and Loyalty (9 papers), Advanced Computational Techniques and Applications (5 papers), Advanced Algorithms and Applications (4 papers), Advanced Sensor and Control Systems (4 papers), Big Data and Business Intelligence (4 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Information Systems and Management (344 citations), Oral Surgery (251 citations), Otorhinolaryngology (139 citations), Human-Computer Interaction (93 citations) and Marketing (138 citations). Wang Hu has collaborated with scholars based in China, Bangladesh and Australia. Frequent co-authors include Md. Rakibul Hoque, Mohammad Zahedul Alam, T.N. Tan, Ning He, Liang Wang, Zapan Barua, Md. Abdul Kaium, Juan Xie, Ming Duan and Kangping Yan. Their work appears in journals such as Measurement Science and Technology, International Journal of Information Management, Journal of Material Science and Technology, BioScience Trends and IEEE Access.

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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