Haozhi Zhang
- Transportation top 2%
- Transportation Planning and Optimization 7
- Urban Transport and Accessibility 3
- Health Informatics top 10%
- Orthopedics and Sports Medicine top 10%
- Building and Construction top 10%
-
- Knee injuries and reconstruction techniques 7
- Total Knee Arthroplasty Outcomes 6
- Shoulder Injury and Treatment 3
-
- Musculoskeletal pain and rehabilitation 3
-
- Spine and Intervertebral Disc Pathology 3
-
- AI in cancer detection 2
- Co-authors
- Ziyou GaoMatthew R. ScottXun WangWeilin HuangW.Y. SzetoJiancheng LongHuijun SunZhengzheng Zhang
In The Last Decade
Haozhi Zhang
29 papers receiving 490 citations
Peers
Comparison fields: 5 of 85
- Transportation 165
- Health Informatics 14
- Computer Vision and Pattern Recognition 143
- Orthopedics and Sports Medicine 49
- Building and Construction 65
Countries citing papers authored by Haozhi Zhang
This map shows the geographic impact of Haozhi Zhang'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 Haozhi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haozhi Zhang more than expected).
Fields of papers citing papers by Haozhi Zhang
This network shows the impact of papers produced by Haozhi Zhang. 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 Haozhi Zhang. The network helps show where Haozhi Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haozhi Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 168 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 12 | |
| 18 | 2013 | 8 | |
| 19 | 2010 | 61 | |
| 20 | 2009 | 36 |
About Haozhi Zhang
Haozhi Zhang is a scholar working on Transportation, Health Informatics and Orthopedics and Sports Medicine, having authored 31 papers that have together received 503 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (7 papers), Knee injuries and reconstruction techniques (7 papers), Total Knee Arthroplasty Outcomes (6 papers), Urban Transport and Accessibility (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Shoulder Injury and Treatment (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Transportation (165 citations), Health Informatics (14 citations) and Computer Vision and Pattern Recognition (143 citations). Haozhi Zhang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Ziyou Gao, Matthew R. Scott, Xun Wang, Weilin Huang, W.Y. Szeto, Jiancheng Long, Huijun Sun, Zhengzheng Zhang, Bin Song and Weiping Li. Their work appears in journals such as Arthroscopy The Journal of Arthroscopic and Related Surgery, Annals of Physical and Rehabilitation Medicine, Orphanet Journal of Rare Diseases, Arthroscopy Sports Medicine and Rehabilitation and Traffic Injury Prevention.
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.