Lanlan Zhang
- Spectroscopy
- Artificial Intelligence
- Endocrinology, Diabetes and Metabolism
- Biochemistry
- Public Health, Environmental and Occupational Health
- Co-authors
- Leonie KobanTor D. WagerElizabeth A. Reynolds LosinYoni K. AsharQingfeng ZengYueming WangJing WenYuan Sun
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Technology Adoption and User Behaviour (3 papers)Impact of Technology on Adolescents (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Microbiology and BiotechnologyAmerican Journal of Roentgenology
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Lanlan Zhang
24 papers receiving 376 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Spectroscopy 48
- Artificial Intelligence 46
- Endocrinology, Diabetes and Metabolism 44
- Biochemistry 41
- Public Health, Environmental and Occupational Health 41
Countries citing papers authored by Lanlan Zhang
This map shows the geographic impact of Lanlan 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 Lanlan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Zhang more than expected).
Fields of papers citing papers by Lanlan Zhang
This network shows the impact of papers produced by Lanlan 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 Lanlan Zhang. The network helps show where Lanlan Zhang may publish in the future.
Co-authorship network of co-authors of Lanlan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lanlan Zhang. A scholar is included among the top collaborators of Lanlan Zhang 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 Lanlan Zhang. Lanlan Zhang 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 28 | |
| 9 | Gender Biases in Estimation of Others’ Painbreakdown → | 121 |
| 10 | 2 | |
| 11 | 51 | |
| 12 | 22 | |
| 13 | 10 | |
| 14 | 56 | |
| 15 | 2 | |
| 16 | 38 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 6 |
About Lanlan Zhang
Lanlan Zhang is a scholar working on Information Systems and Management, Biological Psychiatry and Biochemistry, having authored 25 papers that have together received 392 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Technology Adoption and User Behaviour (3 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Biochemistry (41 citations), Information Systems and Management (27 citations) and Health Informatics (4 citations). Lanlan Zhang has collaborated with scholars based in China, France and United States. Frequent co-authors include Leonie Koban, Tor D. Wager, Elizabeth A. Reynolds Losin, Yoni K. Ashar, Qingfeng Zeng, Yueming Wang, Jing Wen, Yuan Sun, Wěi Li and Hongqiu Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and American Journal of Roentgenology.
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.