Xinghua Li

6.6k total citations · 7 hit papers
171 papers, 5.0k citations indexed

About

Xinghua Li is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xinghua Li has authored 171 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Media Technology, 38 papers in Atmospheric Science and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xinghua Li's work include Advanced Image Fusion Techniques (32 papers), Remote-Sensing Image Classification (29 papers) and Remote Sensing in Agriculture (26 papers). Xinghua Li is often cited by papers focused on Advanced Image Fusion Techniques (32 papers), Remote-Sensing Image Classification (29 papers) and Remote Sensing in Agriculture (26 papers). Xinghua Li collaborates with scholars based in China, United States and Japan. Xinghua Li's co-authors include Huanfeng Shen, Liangpei Zhang, Xiaobin Guan, Huifang Li, Gang Yang, Zhenyu Tan, Ruitao Feng, Chao Zeng, Qing Cheng and Yinghong Jing and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Cancer.

In The Last Decade

Xinghua Li

160 papers receiving 4.8k citations

Hit Papers

Missing Information Reconstruction of Remote Sensing Data... 2014 2026 2018 2022 2015 2021 2014 2021 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinghua Li China 38 1.6k 1.2k 1.2k 1.1k 874 171 5.0k
Sicong Liu China 34 3.0k 1.8× 945 0.8× 1.2k 1.0× 1.9k 1.8× 689 0.8× 178 4.8k
Yansheng Li China 44 2.3k 1.4× 2.1k 1.7× 518 0.4× 695 0.7× 584 0.7× 198 7.2k
Liang Cheng China 40 996 0.6× 579 0.5× 1.2k 1.0× 726 0.7× 1.3k 1.5× 225 5.3k
Michael Schmitt Germany 35 1.6k 1.0× 1.3k 1.1× 1.1k 0.9× 675 0.6× 886 1.0× 198 5.6k
Wenzhi Zhao China 27 2.0k 1.2× 614 0.5× 760 0.6× 1.3k 1.2× 306 0.4× 109 3.7k
Zhilin Li China 43 496 0.3× 849 0.7× 587 0.5× 566 0.5× 729 0.8× 400 7.3k
Liqiang Zhang China 35 572 0.3× 786 0.6× 680 0.6× 468 0.4× 672 0.8× 289 4.7k
Fumio Yamazaki Japan 45 1.3k 0.8× 342 0.3× 727 0.6× 940 0.9× 770 0.9× 394 7.7k
Mahesh Pal India 38 2.1k 1.3× 597 0.5× 2.7k 2.3× 1.3k 1.3× 1.7k 2.0× 117 8.1k
Mattia Marconcini Germany 27 2.5k 1.5× 864 0.7× 946 0.8× 1.9k 1.8× 1.6k 1.8× 106 5.2k

Countries citing papers authored by Xinghua Li

Since Specialization
Citations

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

Fields of papers citing papers by Xinghua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Li

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

All Works

20 of 20 papers shown
1.
Zhao, Anqi, et al.. (2025). ThiefCloud: A Thickness Fused Thin Cloud Removal Network for Optical Remote Sensing Image With Self-Supervised Learnable Cloud Prior. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 11834–11848.
2.
Lin, D. X., et al.. (2024). Joint block adjustment and variational optimization for global and local radiometric normalization toward multiple remote sensing image mosaicking. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 187–203. 3 indexed citations
3.
Liu, Weiling, et al.. (2024). Collaborative dual-harmonization reconstruction network for large-ratio cloud occlusion missing information in high-resolution remote sensing images. Engineering Applications of Artificial Intelligence. 136. 108861–108861. 2 indexed citations
4.
Sun, Cong, et al.. (2024). GNSS spoofing detection for UAVs using Doppler frequency and Carrier-to-Noise Density Ratio. Journal of Systems Architecture. 153. 103212–103212. 10 indexed citations
5.
Zhang, Xingjian, et al.. (2024). Enhanced wavelet based spatiotemporal fusion networks using cross-paired remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing. 211. 281–297. 23 indexed citations
6.
Zhang, Xingchen, Jianen Gao, Haochen Zhang, et al.. (2023). Mechanical Characterization and Constitutive Modeling of Nano-Stabilized Soil under Uniaxial Compression. Materials. 16(4). 1488–1488. 6 indexed citations
7.
Liu, Changqi, Michael C. Fu, Xiangxu Meng, et al.. (2023). CESIUM-MRS: A CESIUM-BASED PLATFORM FOR VISUALIZING MULTI-SOURCE REMOTE SENSING DATA. SHILAP Revista de lepidopterología. XLVIII-5/W1-2023. 15–19. 2 indexed citations
8.
Li, Xinghua, et al.. (2023). Bishift Networks for Thick Cloud Removal with Multitemporal Remote Sensing Images. International Journal of Intelligent Systems. 2023(1). 52 indexed citations
9.
Zhang, Hongyi, Yong Liu, Xinghua Li, et al.. (2022). Combing remote sensing information entropy and machine learning for ecological environment assessment of Hefei-Nanjing-Hangzhou region, China. Journal of Environmental Management. 325(Pt B). 116533–116533. 37 indexed citations
10.
Jing, Yinghong, Xinghua Li, & Huanfeng Shen. (2022). STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China. Earth system science data. 14(7). 3137–3156. 17 indexed citations
11.
Feng, Ruitao, Qingyun Du, Heng Luo, et al.. (2021). A registration algorithm based on optical flow modification for multi-temporal remote sensing images covering the complex-terrain region. National Remote Sensing Bulletin. 25(2). 630–640. 5 indexed citations
12.
Lin, Liupeng, Jie Li, Huanfeng Shen, et al.. (2021). Low-Resolution Fully Polarimetric SAR and High-Resolution Single-Polarization SAR Image Fusion Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 22 indexed citations
13.
Guan, Xiaobin, Huanfeng Shen, Yuchen Wang, et al.. (2021). Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades. 7 indexed citations
14.
Li, Xinghua, Yinghong Jing, Huanfeng Shen, & Liangpei Zhang. (2019). The recent developments in cloud removal approaches of MODIS snow cover product. Hydrology and earth system sciences. 23(5). 2401–2416. 67 indexed citations
15.
Li, Xinghua, Yinghong Jing, Huanfeng Shen, & Liangpei Zhang. (2019). The recent developments in spatio-temporally continuous snow cover product generation. 4 indexed citations
16.
Li, Xinghua, et al.. (2016). Chinese Culture Overseas Exchange and Spread Under the Context of Cross- Cultural Perspective. Cross-cultural communication. 12(4). 1–5. 2 indexed citations
17.
Li, Xinghua, et al.. (2013). Study on the vibration effect on operation subway induced by blasting of an adjacent cross tunnel and the reducing vibration techniques. Journal of Vibroengineering. 15(3). 1454–1462. 15 indexed citations
18.
Li, Xinghua. (2011). Research on the Islam in Guangzhou. 1 indexed citations
19.
Li, Xinghua, et al.. (2010). Spatial-temporal Evolvement Characteristics of Climate Productivity for the Plants on Inner Mongolia Desert Steppe. 1(5). 76–79. 2 indexed citations
20.
Li, Xinghua. (2008). Impact of Snow Cover on Sand and Dust Storm. Zhongguo shamo.

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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