Le Hou

4.5k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Le Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Le Hou has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Le Hou's work include AI in cancer detection (9 papers), Cell Image Analysis Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Le Hou is often cited by papers focused on AI in cancer detection (9 papers), Cell Image Analysis Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Le Hou collaborates with scholars based in United States, China and Germany. Le Hou's co-authors include Joel Saltz, Tahsin Kurç, Dimitris Samaras, Yi Gao, James Davis, Rajarsi Gupta, Dimitris Samaras, Tianhao Zhao, Vu Nguyen and Ayush Agarwal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal Of Pathology and Psychological Medicine.

In The Last Decade

Le Hou

27 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

2016 517 citations Le Hou, Dimitris Samaras et al. PubMed profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Le Hou United States	14	790	489	477	163	138	27	1.2k
Dimitris Samaras United States	12	684 0.9×	427 0.9×	422 0.9×	141 0.9×	145 1.1×	28	1.0k
Sen Yang China	16	657 0.8×	493 1.0×	371 0.8×	93 0.6×	115 0.8×	57	1.2k
Philipp Kainz Austria	10	605 0.8×	402 0.8×	404 0.8×	150 0.9×	146 1.1×	17	1.1k
Ángel Cruz-Roa Colombia	13	1.4k 1.7×	852 1.7×	776 1.6×	206 1.3×	227 1.6×	40	1.8k
Yunbo Guo China	9	461 0.6×	322 0.7×	394 0.8×	65 0.4×	140 1.0×	28	872
Tingying Peng Germany	15	501 0.6×	473 1.0×	318 0.7×	239 1.5×	101 0.7×	44	1.3k
Changhao Sun China	13	639 0.8×	423 0.9×	405 0.8×	96 0.6×	134 1.0×	23	1.0k
John Arévalo Colombia	13	705 0.9×	483 1.0×	367 0.8×	72 0.4×	121 0.9×	30	1.0k
Guilherme Aresta Portugal	11	662 0.8×	681 1.4×	336 0.7×	67 0.4×	86 0.6×	23	979
Jin Tae Kwak South Korea	23	572 0.7×	586 1.2×	363 0.8×	180 1.1×	51 0.4×	69	1.3k

Countries citing papers authored by Le Hou

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Le Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Le Hou. A scholar is included among the top collaborators of Le Hou 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 Le Hou. Le Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Ben, Qiang Wang, Huarong Zhou, et al.. (2023). Differences in olfactory functional connectivity in early-onset depression and late-onset depression. PubMed. 3. kkad030–kkad030. 2 indexed citations

Chen, Ben, Xiaomei Zhong, Qiang Wang, et al.. (2023). Disrupted dynamic functional connectivity of hippocampal subregions mediated the slowed information processing speed in late-life depression. Psychological Medicine. 53(14). 6500–6510. 8 indexed citations

Zhang, Ting, Kangguang Lin, Rongqiao He, et al.. (2023). CYP2C19-rs4986893 confers risk to major depressive disorder and bipolar disorder in the Han Chinese population whereas ABCB1-rs1045642 acts as a protective factor. BMC Psychiatry. 23(1). 69–69. 3 indexed citations

Zhang, Si, Ben Chen, Xiaomei Zhong, et al.. (2022). Interactive Effects of Agitation and Cognitive Impairment on Odor Identification in Patients With Late-Life Depression. Frontiers in Psychiatry. 13. 839012–839012. 4 indexed citations

Chen, Ben, Xiaomei Zhong, Min Zhang, et al.. (2022). Differences in Odor Identification in Early-Onset and Late-Onset Depression. Brain Sciences. 12(2). 276–276. 6 indexed citations

Hou, Le, Bess Yin‐Hung Lam, Nichol M. L. Wong, et al.. (2022). Integrity of cerebellar tracts associated with the risk of bipolar disorder. Translational Psychiatry. 12(1). 335–335. 4 indexed citations

Wang, Qiang, Ben Chen, Xiaomei Zhong, et al.. (2022). Static and dynamic functional connectivity variability of the anterior-posterior hippocampus with subjective cognitive decline. Alzheimer s Research & Therapy. 14(1). 122–122. 13 indexed citations

Abousamra, Shahira, Rajarsi Gupta, Le Hou, et al.. (2022). Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer. Frontiers in Oncology. 11. 806603–806603. 47 indexed citations

Zhong, Xiaomei, Ben Chen, Le Hou, et al.. (2022). Shared and specific dynamics of brain activity and connectivity in amnestic and nonamnestic mild cognitive impairment. CNS Neuroscience & Therapeutics. 28(12). 2053–2065. 13 indexed citations

10.

Gupta, Rajarsi, Le Hou, Shahira Abousamra, et al.. (2020). Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer. American Journal Of Pathology. 190(7). 1491–1504. 73 indexed citations

11.

Hou, Le, Rajarsi Gupta, John S. Van Arnam, et al.. (2020). Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types. Scientific Data. 7(1). 185–185. 38 indexed citations

12.

Hou, Le, Ayush Agarwal, Dimitris Samaras, et al.. (2019). Robust Histopathology Image Analysis: To Label or to Synthesize?. PubMed. 2019. 8525–8534. 73 indexed citations

13.

Robinson, Caleb, Le Hou, Dimitris Samaras, et al.. (2018). Label super-resolution networks.. International Conference on Learning Representations. 8 indexed citations

14.

Hou, Le, Vu Nguyen, Dimitris Samaras, et al.. (2018). Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. Pattern Recognition. 86. 188–200. 109 indexed citations

15.

Hou, Le, et al.. (2017). Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. PubMed. 2017. 834–841. 22 indexed citations

16.

Hou, Le, Dimitris Samaras, Tahsin Kurç, et al.. (2016). Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification. PubMed. 2016. 2424–2433. 517 indexed citations breakdown →

17.

Hou, Le, Dimitris Samaras, Tahsin Kurç, et al.. (2015). Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification.. arXiv (Cornell University). 30 indexed citations

18.

Zhong, Xiaomei, et al.. (2015). Hydrogen proton magnetic resonance spectroscopy of hippocampus of patients with general paresis of insane and Alzheimer's disease. Chin J Neurol. 48(1). 36–39. 1 indexed citations

19.

Li, Feng, et al.. (2014). Cognitive Impairment in Native Chinese with Spinocerebellar Ataxia Type 3. European Neurology. 71(5-6). 262–270. 17 indexed citations

20.

Pan, Xipeng, Huihua Yang, Lingqiao Li, Zhenbing Liu, & Le Hou. (2013). FPGA Implementation of SVM Decision Function Based on Hardware-Friendly Kernel. 5768. 133–136. 12 indexed citations

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.

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