Le Hou
Impact in
- Health Informatics top 1%
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
-
- Cell Image Analysis Techniques 8
-
- Digital Imaging for Blood Diseases 4
- Medical Image Segmentation Techniques 3
- Advanced Neural Network Applications 2
- Co-authors
- Dimitris Samaras (15 shared papers)Joel Haskin Saltz (13 shared papers)Tahsin Kurç (11 shared papers)Yi Gao (4 shared papers)James Davis (1 shared paper)Rajarsi Gupta (7 shared papers)Minh Hoai Nguyen (2 shared papers)Tomás F. Yago Vicente (2 shared papers)
- Journals
- Translational Psychiatry (1 paper)Cell Reports (1 paper)Psychological Medicine (1 paper)Frontiers in Oncology (1 paper)Alzheimer s Research & Therapy (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Le Hou
30 papers receiving 2.4k citations
Le Hou's Hit Papers
Peers
Comparison fields: 5 of 131
- Health Informatics 112
- Biophysics 271
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 738
- Computer Vision and Pattern Recognition 763
Countries citing papers authored by Le Hou
This map shows the geographic impact of Le Hou'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 Le Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Hou more than expected).
Fields of papers citing papers by Le Hou
This network shows the impact of papers produced by Le Hou. 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 Le Hou. The network helps show where Le Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 761 |
| 2 | Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification Hit paper breakdown → | 2016 | 665 |
| 3 | 2016 | 170 | |
| 4 | Towards conversational diagnostic artificial intelligence Hit paper breakdown → | 2025 | 158 |
| 5 | 2018 | 128 | |
| 6 | 2019 | 106 | |
| 7 | 2020 | 94 | |
| 8 | 2019 | 78 | |
| 9 | 2022 | 61 | |
| 10 | Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images. | 2018 | 41 |
| 11 | 2019 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2022 | 22 | |
| 14 | 2014 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2022 | 14 | |
| 18 | Label super-resolution networks. | 2018 | 13 |
| 19 | 2013 | 12 | |
| 20 | 2020 | 10 |
About Le Hou
Le Hou is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Sensory Systems, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Cell Image Analysis Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Imaging for Blood Diseases (4 papers), Functional Brain Connectivity Studies (3 papers), Olfactory and Sensory Function Studies (3 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Informatics (112 citations), Biophysics (271 citations), Artificial Intelligence (1.3k citations), Radiology, Nuclear Medicine and Imaging (738 citations) and Computer Vision and Pattern Recognition (763 citations). Le Hou has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dimitris Samaras, Joel Haskin Saltz, Tahsin Kurç, Yi Gao, James Davis, Rajarsi Gupta, Minh Hoai Nguyen, Tomás F. Yago Vicente, Chen-Ping Yu and Tianhao Zhao. Their work appears in journals such as Translational Psychiatry, Cell Reports, Psychological Medicine, Frontiers in Oncology and Alzheimer s Research & Therapy.
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.