Tao Hu
- Sociology and Political Science top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Information Systems and Management top 2%
- Electrical and Electronic Engineering
- Co-authors
- William J. KettingerRobin S. PostonHua DaiDmitri B. ChklovskiiYuriy MishchenkoJosef ŠpačekJohn M. MendenhallKristen M. Harris
- Topics
- Technology Adoption and User Behaviour (14 papers)Digital Marketing and Social Media (12 papers)Video Surveillance and Tracking Methods (10 papers)
- Cited by
- Information Systems and ManagementStructural BiologyComputer Vision and Pattern Recognition
- Journals
- CirculationNeuronSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Tao Hu
131 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 148
- Sociology and Political Science 308
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 239
- Information Systems and Management 228
- Electrical and Electronic Engineering 158
Countries citing papers authored by Tao Hu
This map shows the geographic impact of Tao 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 Tao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Hu more than expected).
Fields of papers citing papers by Tao Hu
This network shows the impact of papers produced by Tao 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 Tao Hu. The network helps show where Tao Hu may publish in the future.
Co-authorship network of co-authors of Tao Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Hu. A scholar is included among the top collaborators of Tao Hu 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 Tao Hu. Tao Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 30 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | 2 | |
| 18 | Gender Differences in Internet Use: A Logistic Regression Analysis | 8 |
| 19 | Why People Continue to Use Social Networking Services: Developing a Comprehensive Model | 55 |
| 20 | Application of Morphological Image Processing in Stem Location and Edge Detection of Apple Automatic Grading | 0 |
About Tao Hu
Tao Hu is a scholar working on Information Systems and Management, Computer Vision and Pattern Recognition and Media Technology, having authored 156 papers that have together received 1.5k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (14 papers), Digital Marketing and Social Media (12 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Information Systems and Management (228 citations), Structural Biology (35 citations) and Computer Vision and Pattern Recognition (280 citations). Tao Hu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include William J. Kettinger, Robin S. Poston, Hua Dai, Dmitri B. Chklovskii, Yuriy Mishchenko, Josef Špaček, John M. Mendenhall, Kristen M. Harris, Xihui Zhang and Xinyan Zhu. Their work appears in journals such as Circulation, Neuron and SHILAP Revista de lepidopterología.
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.