Lichao Mou

9.2k citations

126 papers · 6.7k indexed · 6 hit papers · h-index 36

Impact in

Media Technology top 0.02%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Atmospheric Science top 1%
- Remote Sensing and Land Use

Papers in

Media Technology 66
- Remote-Sensing Image Classification 65
Computer Vision and Pattern Recognition 63
- Advanced Image and Video Retrieval Techniques 42
- Video Surveillance and Tracking Methods 17
- Multimodal Machine Learning Applications 12
- Advanced Neural Network Applications 11

Co-authors: Xiao Xiang Zhu Pedram Ghamisi Yuansheng Hua Lorenzo Bruzzone Xiaoqiang Lu Michael Schmitt Hui Lü Haobo Lyu
Journals: IEEE Transactions on Geoscience and Remote Sensing (33 papers)International Journal of Applied Earth Observation and Geoinformation (7 papers)ISPRS Journal of Photogrammetry and Remote Sensing (5 papers)IEEE Geoscience and Remote Sensing Magazine (4 papers)IEEE Geoscience and Remote Sensing Letters (4 papers)
Partner nations: Germany China Canada

In The Last Decade

Lichao Mou

121 papers receiving 6.5k citations

Hit Papers

6 papers align trajectories log scale

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images 2022 · 149 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 IEEE Transactions on Geoscience and Remote Sensing
2022 IEEE Geoscience and Remote Sensing Magazine
2021 IEEE Geoscience and Remote Sensing Magazine
2020 IEEE Transactions on Geoscience and Remote Sensing
2018 IEEE Transactions on Geoscience and Remote Sensing
2017 IEEE Transactions on Geoscience and Remote Sensing

Peers

Countries citing papers authored by Lichao Mou

Since Specialization

Citations

This map shows the geographic impact of Lichao Mou'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 Lichao Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichao Mou more than expected).

Fields of papers citing papers by Lichao Mou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lichao Mou. 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 Lichao Mou. The network helps show where Lichao Mou may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lichao Mou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lichao Mou Line = papers co-authored together Lichao Mou links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations JMIR Medical Informatics ·Takashi Sasaki, 佐知子城戸, Chao Chen, Harsha C. Chadga, Abdalrhman Mohammad Hamasha, Xiao‐Long Li, محسن تسلیمی, Jingliang Hu, Lichao Mou, Liping Sun, Reinaldo dos Santos Volpi, Xiao Xiang Zhu, Curtis K. Wade, Le‐Hang Guo, Hui‐Xiong Xu	2025	0
2	Integrating Detailed Features and Global Contexts for Semantic Segmentation in Ultrahigh-Resolution Remote Sensing Images IEEE Transactions on Geoscience and Remote Sensing ·Yaxiong Chen, Yujie Wang, Shengwu Xiong, Xiaoqiang Lu, Xiao Xiang Zhu, Lichao Mou	2024	12
3	A high-resolution calving front data product for marine-terminating glaciers in Svalbard Earth system science data ·Débora Siqueira Pereira Masiêro, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber	2024	6
4	Deep Learning in Spaceborne GNSS Reflectometry: Correcting Precipitation Effects on Wind Speed Products IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Elad J. Yarkoni, Caroline Arnold, Marco Trivelli, Lichao Mou, Jens Wickert, Milad Asgarimehr	2024	1
5	DDM-Former: Transformer networks for GNSS reflectometry global ocean wind speed estimation Remote Sensing of Environment ·Marco Trivelli, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Elad J. Yarkoni, Yu‐Chun Kung, Xiao Xiang Zhu, Lichao Mou	2023	26
6	Deep Saliency Smoothing Hashing for Drone Image Retrieval IEEE Transactions on Geoscience and Remote Sensing ·Yaxiong Chen, Seçil Karahisar Turan, Lichao Mou, Mathias Codron, Shengwu Xiong, Xiao Xiang Zhu	2023	14
7	Cross-city Landuse classification of remote sensing images via deep transfer learning International Journal of Applied Earth Observation and Geoinformation ·L.P. Wenzell, Jingliang Hu, Lichao Mou, Zhitong Xiong, Xiao Xiang Zhu	2023	12
8	Anomaly Detection in Aerial Videos With Transformers IEEE Transactions on Geoscience and Remote Sensing ·Mathias Codron, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu	2022	27
9	Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images IEEE Transactions on Geoscience and Remote Sensing ·Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone Hit paper breakdown →	2022	149
10	A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features IEEE Transactions on Geoscience and Remote Sensing ·Jun Li, Zhaocong Wu, Zhongwen Hu, Elbi Morla, 孙太强, Lichao Mou, Xiao Xiang Zhu, Matthieu Molinier	2021	53
11	Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images IEEE Transactions on Geoscience and Remote Sensing ·Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone	2020	45
12	Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Lichao Mou, Xiaoqiang Lu, Xuelong Li, Xiao Xiang Zhu Hit paper breakdown →	2020	233
13	So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets] IEEE Geoscience and Remote Sensing Magazine ·Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Ji Hee Seol, Yuansheng Hua, Rong Huang, Lloyd Haydn Hughes, Hao Li, Yao Sun, Nicolaas Walter Jan Helsen, Alexandra N. Danilenko, Michael Schmitt, Yuanyuan Wang	2020	110
14	Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints elib (German Aerospace Center) ·Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu	2019	16
15	Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery IEEE Transactions on Geoscience and Remote Sensing ·Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu Hit paper breakdown →	2018	480
16	Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data Remote Sensing ·Haobo Lyu, Hui Lü, Lichao Mou, Marcelo Porta Capellari, Jonathon S. Wright, Xuecao Li, Xinlu Li, Xiao Xiang Zhu, Jie Wang, Le Yu, Peng Gong	2018	62
17	Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets Remote Sensing ·Chunping Qiu, Michael Schmitt, Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu	2018	70
18	Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu	2017	234
19	Corrections to “Deep Recurrent Neural Networks for Hyperspectral Image Classification” [Jul 17 3639-3655] IEEE Transactions on Geoscience and Remote Sensing ·Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu	2017	9
20	Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection Remote Sensing ·Haobo Lyu, Hui Lü, Lichao Mou	2016	260

About Lichao Mou

Lichao Mou is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Environmental Engineering, Atmospheric Science and Artificial Intelligence, having authored 126 papers that have together received 6.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (65 papers), Advanced Image and Video Retrieval Techniques (42 papers), Domain Adaptation and Few-Shot Learning (21 papers), Remote Sensing and Land Use (18 papers), Video Surveillance and Tracking Methods (17 papers), Automated Road and Building Extraction (13 papers), Multimodal Machine Learning Applications (12 papers) and Advanced Neural Network Applications (11 papers). The work is most often cited by research in Media Technology (3.8k citations), Atmospheric Science (2.1k citations), Computer Vision and Pattern Recognition (2.2k citations), Environmental Engineering (709 citations) and Ecology (1.1k citations). Lichao Mou has collaborated with scholars based in Germany, China and Canada. Frequent co-authors include Xiao Xiang Zhu, Pedram Ghamisi, Yuansheng Hua, Lorenzo Bruzzone, Xiaoqiang Lu, Michael Schmitt, Hui Lü, Haobo Lyu, Yuanyuan Wang and Chunping Qiu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine and IEEE Geoscience and Remote Sensing Letters.

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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