Xin He

2.9k total citations · 2 hit papers
84 papers, 2.2k citations indexed

About

Xin He is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Xin He has authored 84 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 27 papers in Media Technology and 15 papers in Atmospheric Science. Recurrent topics in Xin He's work include Remote-Sensing Image Classification (25 papers), Remote Sensing and Land Use (15 papers) and Medical Imaging Techniques and Applications (9 papers). Xin He is often cited by papers focused on Remote-Sensing Image Classification (25 papers), Remote Sensing and Land Use (15 papers) and Medical Imaging Techniques and Applications (9 papers). Xin He collaborates with scholars based in China, United States and Germany. Xin He's co-authors include Yushi Chen, Pedram Ghamisi, Zhouhan Lin, Rui Yao, Jiaqi Zhao, Yong Zhou, Eric C. Frey, Yong Xue, Di Zhang and Subok Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xin He

79 papers receiving 2.2k citations

Hit Papers

Swin Transformer Embedding UNet for Remote Sensing Image ... 2021 2026 2022 2024 2022 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin He China 23 1.1k 623 588 357 239 84 2.2k
Haikel Alhichri Saudi Arabia 24 815 0.7× 869 1.4× 320 0.5× 624 1.7× 109 0.5× 71 2.6k
Feng Gao China 26 1.4k 1.3× 1.1k 1.8× 704 1.2× 364 1.0× 204 0.9× 194 3.0k
Otávio A. B. Penatti Brazil 15 1.1k 1.0× 1.1k 1.8× 409 0.7× 422 1.2× 76 0.3× 42 2.1k
Michael Kampffmeyer Norway 21 592 0.5× 789 1.3× 216 0.4× 641 1.8× 191 0.8× 74 2.0k
Fulin Luo China 22 1.5k 1.4× 855 1.4× 760 1.3× 334 0.9× 186 0.8× 84 2.3k
L.M. Bruce United States 24 1.7k 1.6× 778 1.2× 999 1.7× 430 1.2× 88 0.4× 109 2.7k
Selim Aksoy Türkiye 21 627 0.6× 1.0k 1.6× 241 0.4× 763 2.1× 245 1.0× 75 2.1k
Carlo Gatta Spain 22 708 0.7× 1.1k 1.7× 229 0.4× 167 0.5× 171 0.7× 63 2.0k
Adriana Romero Spain 13 680 0.6× 1.3k 2.1× 247 0.4× 644 1.8× 703 2.9× 22 2.8k
Jefersson A. dos Santos Brazil 21 1.4k 1.2× 1.3k 2.1× 541 0.9× 458 1.3× 81 0.3× 109 2.7k

Countries citing papers authored by Xin He

Since Specialization
Citations

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

Fields of papers citing papers by Xin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin He

This figure shows the co-authorship network connecting the top 25 collaborators of Xin He. A scholar is included among the top collaborators of Xin He 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 Xin He. Xin He 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.
Huang, Lingbo, Yushi Chen, & Xin He. (2024). Spectral-Spatial Mamba for Hyperspectral Image Classification. Remote Sensing. 16(13). 2449–2449. 45 indexed citations
2.
He, Xin. (2023). Forecasting Gasoline Price with Time Series Models. Communications of the IIMA. 21(1). 1 indexed citations
3.
Zhang, Yong, et al.. (2023). A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods. Energies. 16(3). 1469–1469. 20 indexed citations
4.
Zhang, Yuqing, et al.. (2023). Polymorphs of a 1:1 salt of sulfadiazine and piperazine–relative stability, dissolution studies, pharmacokinetics and anti-meningitis efficiency. European Journal of Pharmaceutical Sciences. 188. 106503–106503. 3 indexed citations
5.
He, Xin, Yong Zhou, Jiaqi Zhao, et al.. (2022). Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 343 indexed citations breakdown →
6.
Huang, Lingbo, Yushi Chen, Xin He, & Pedram Ghamisi. (2022). Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote Sensing. 14(21). 5530–5530. 3 indexed citations
7.
He, Xin, Yushi Chen, & Pedram Ghamisi. (2021). Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 47 indexed citations
8.
He, Xin, Yong Zhou, Jiaqi Zhao, et al.. (2021). Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 16 indexed citations
9.
Zhang, Guohua, et al.. (2021). Thwart Physical and Digital Domain's Adversarial Attack Methods on Face Detection. 861–871. 1 indexed citations
10.
Chen, Yushi, et al.. (2021). Soft Augmentation-Based Siamese CNN for Hyperspectral Image Classification With Limited Training Samples. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 24 indexed citations
11.
He, Xin, Yushi Chen, & Pedram Ghamisi. (2019). Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3246–3263. 143 indexed citations
12.
Chen, Yushi, et al.. (2019). Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(9). 7048–7066. 158 indexed citations
13.
Chen, Yushi, et al.. (2019). Deep Learning Ensemble for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(6). 1882–1897. 123 indexed citations
14.
He, Xin. (2018). Crude Oil Prices Forecasting: Time Series vs. SVR Models. Journal of international technology and information management. 27(2). 25–42. 15 indexed citations
15.
He, Xin, Aili Wang, Pedram Ghamisi, Guoyu Li, & Yushi Chen. (2018). LiDAR Data Classification Using Spatial Transformation and CNN. IEEE Geoscience and Remote Sensing Letters. 16(1). 125–129. 26 indexed citations
16.
Wang, Aili, Xin He, Pedram Ghamisi, & Yushi Chen. (2018). LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Letters. 15(5). 774–778. 27 indexed citations
17.
He, Xin & Eric C. Frey. (2009). ROC, LROC, FROC, AFROC: An Alphabet Soup. Journal of the American College of Radiology. 6(9). 652–655. 16 indexed citations
18.
He, Xin. (2008). High-performance liquid chromatography-tandem mass spectrometry for the determination of residue of domoic acid in shellfish. JOURNAL OF FISHERIES OF CHINA. 8 indexed citations
19.
He, Xin & Eric C. Frey. (2006). Three-Class ROC Analysis—The Equal Error Utility Assumption and the Optimality of Three-Class ROC Surface Using the Ideal Observer. IEEE Transactions on Medical Imaging. 25(8). 979–986. 29 indexed citations
20.
He, Xin. (2000). The corona protective materials and design of VPI electric machines. Dianji yu kongzhi xuebao. 2 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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