Le Hou
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
-
- AI in cancer detection 9
-
- Digital Imaging for Blood Diseases 4
- Co-authors
- Joel Saltz (13 shared papers)Tahsin Kurç (12 shared papers)Dimitris Samaras (7 shared papers)Yi Gao (4 shared papers)James Davis (2 shared papers)Rajarsi Gupta (7 shared papers)Tianhao Zhao (4 shared papers)Vu Nguyen (2 shared papers)
- Journals
- Frontiers in Psychiatry (1 paper)Alzheimer s Research & Therapy (1 paper)BMC Psychiatry (1 paper)Psychological Medicine (1 paper)Pattern Recognition (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Le Hou
27 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Biophysics 163
- Artificial Intelligence 790
- Computer Vision and Pattern Recognition 477
- Radiology, Nuclear Medicine and Imaging 489
- Health Informatics 24
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification Hit paper breakdown → | 2016 | 517 |
| 2 | 2018 | 109 | |
| 3 | 2020 | 73 | |
| 4 | 2019 | 73 | |
| 5 | 2019 | 63 | |
| 6 | 2022 | 47 | |
| 7 | 2020 | 38 | |
| 8 | Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images. | 2018 | 35 |
| 9 | Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification. | 2015 | 30 |
| 10 | 2017 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2014 | 17 | |
| 13 | 2016 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2020 | 9 | |
| 18 | ConvNets with Smooth Adaptive Activation Functions for Regression. | 2017 | 9 |
| 19 | 2022 | 9 | |
| 20 | Label super-resolution networks. | 2018 | 8 |
About Le Hou
Le Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Psychiatry and Mental health, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Cell Image Analysis Techniques (5 papers), Digital Imaging for Blood Diseases (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Chemical Sensor Technologies (3 papers), Image Processing Techniques and Applications (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Olfactory and Sensory Function Studies (3 papers). The work is most often cited by research in Biophysics (163 citations), Artificial Intelligence (790 citations), Computer Vision and Pattern Recognition (477 citations), Radiology, Nuclear Medicine and Imaging (489 citations) and Health Informatics (24 citations). Le Hou has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Joel Saltz, Tahsin Kurç, Dimitris Samaras, Yi Gao, James Davis, Rajarsi Gupta, Dimitris Samaras, Tianhao Zhao, Vu Nguyen and Rebecca Batiste. Their work appears in journals such as Frontiers in Psychiatry, Alzheimer s Research & Therapy, BMC Psychiatry, Psychological Medicine and Pattern Recognition.
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.