Junhua Yan
Impact in
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- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Adsorption and biosorption for pollutant removal 4
- Co-authors
- Abdul Wahid (1 shared paper)Piotr Szczuko (1 shared paper)Imran Qureshi (1 shared paper)Qaisar Abbas (1 shared paper)Kashif Shaheed (1 shared paper)Haiyan Qiu (4 shared papers)Guihong Lan (4 shared papers)Yongqiang Liu (4 shared papers)
- Journals
- Separation Science and Technology (3 papers)Journal of Imaging Science and Technology (2 papers)RSC Advances (1 paper)Applied Optics (1 paper)Information Fusion (1 paper)
- Partner nations
- ChinaUnited KingdomPakistan
In The Last Decade
Junhua Yan
10 papers receiving 293 citations
Junhua Yan's Hit Papers
Peers
Comparison fields: 5 of 86
- Neurology 39
- Computer Vision and Pattern Recognition 104
- Water Science and Technology 67
- Radiology, Nuclear Medicine and Imaging 66
- Artificial Intelligence 61
Countries citing papers authored by Junhua Yan
This map shows the geographic impact of Junhua Yan'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 Junhua Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhua Yan more than expected).
Fields of papers citing papers by Junhua Yan
This network shows the impact of papers produced by Junhua Yan. 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 Junhua Yan. The network helps show where Junhua Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhua Yan, 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 | Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends Hit paper breakdown → | 2022 | 190 |
| 2 | 2018 | 47 | |
| 3 | 2016 | 24 | |
| 4 | 2020 | 11 | |
| 5 | 2023 | 8 | |
| 6 | 2019 | 8 | |
| 7 | 2022 | 3 | |
| 8 | 2016 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2023 | 2 |
About Junhua Yan
Junhua Yan is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Building and Construction, Mechanical Engineering and Organic Chemistry, having authored 10 papers that have together received 299 indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (4 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers), Extraction and Separation Processes (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Heavy metals in environment (1 paper), Retinal Imaging and Analysis (1 paper), Optical Systems and Laser Technology (1 paper) and Adaptive optics and wavefront sensing (1 paper). The work is most often cited by research in Neurology (39 citations), Computer Vision and Pattern Recognition (104 citations), Water Science and Technology (67 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Artificial Intelligence (61 citations). Junhua Yan has collaborated with scholars based in China, United Kingdom and Pakistan. Frequent co-authors include Abdul Wahid, Piotr Szczuko, Imran Qureshi, Qaisar Abbas, Kashif Shaheed, Haiyan Qiu, Guihong Lan, Yongqiang Liu, Chao Chen and Jihong Zhang. Their work appears in journals such as Separation Science and Technology, Journal of Imaging Science and Technology, RSC Advances, Applied Optics and Information Fusion.
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.