Xin Tian

3.6k total citations · 1 hit paper
153 papers, 2.6k citations indexed

About

Xin Tian is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Xin Tian has authored 153 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 43 papers in Media Technology and 24 papers in Aerospace Engineering. Recurrent topics in Xin Tian's work include Advanced Image Fusion Techniques (36 papers), Image and Signal Denoising Methods (31 papers) and Remote-Sensing Image Classification (25 papers). Xin Tian is often cited by papers focused on Advanced Image Fusion Techniques (36 papers), Image and Signal Denoising Methods (31 papers) and Remote-Sensing Image Classification (25 papers). Xin Tian collaborates with scholars based in China, United States and Hong Kong. Xin Tian's co-authors include Jiayi Ma, Hao Zhang, Junjun Jiang, Han Xu, Yaakov Bar‐Shalom, Zhongyuan Wang, Changcai Yang, Rui Liu, Yuerong Chen and Jinwen Tian and has published in prestigious journals such as PLoS ONE, ACS Catalysis and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xin Tian

137 papers receiving 2.5k citations

Hit Papers

Image fusion meets deep learning: A survey and perspective 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Tian China 26 1.3k 1.2k 556 353 287 153 2.6k
Zhongliang Jing China 23 946 0.8× 982 0.8× 533 1.0× 724 2.1× 255 0.9× 220 2.4k
Xiaomin Yang China 26 1.5k 1.2× 1.8k 1.5× 369 0.7× 203 0.6× 300 1.0× 175 3.1k
Baolong Guo China 19 892 0.7× 1.2k 1.0× 294 0.5× 172 0.5× 155 0.5× 223 2.0k
Tianxu Zhang China 29 909 0.7× 1.3k 1.1× 637 1.1× 178 0.5× 240 0.8× 227 2.6k
Dongming Zhou China 30 1.5k 1.2× 1.5k 1.2× 430 0.8× 538 1.5× 320 1.1× 178 3.4k
Iuri Frosio Italy 14 642 0.5× 1.5k 1.2× 261 0.5× 276 0.8× 315 1.1× 53 2.5k
Jie Li China 33 498 0.4× 1.9k 1.6× 733 1.3× 392 1.1× 363 1.3× 177 3.5k
Haoqian Wang China 26 643 0.5× 1.5k 1.3× 307 0.6× 446 1.3× 409 1.4× 144 3.0k
Qi Li China 24 1.2k 1.0× 1.6k 1.3× 524 0.9× 233 0.7× 236 0.8× 189 2.5k

Countries citing papers authored by Xin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Tian. A scholar is included among the top collaborators of Xin Tian 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 Tian. Xin Tian 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.
Wang, Xutao, Kun Wang, Xin Tian, et al.. (2025). Quantitative Assessment of Coal Phaseouts and Retrofit Deployments for Low-Carbon Transition Pathways in China’s Coal Power Sector. Sustainability. 17(13). 5766–5766.
2.
Liu, Rui, et al.. (2024). TransFusion-CR: Two-Phase SAR-to-Optical Translation and Deep Feature Fusion for Cloud Removal. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 3 indexed citations
3.
Shi, Yuan, Xin Tian, Taomei Li, et al.. (2024). The influence of transcranial alternating current stimulation on EEG spectral power during subsequent sleep: A randomized crossover study. Sleep Medicine. 126. 185–193. 2 indexed citations
4.
Liu, Rui, et al.. (2024). Multi-receptive field interaction network for shape from polarization. Science China Information Sciences. 68(1). 1 indexed citations
5.
Wang, Zhongyuan, et al.. (2024). Re-decoupling the classification branch in object detectors for few-class scenes. Pattern Recognition. 153. 110541–110541. 2 indexed citations
6.
Tian, Xin, et al.. (2023). Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14382–14395. 26 indexed citations
7.
Liu, Rui, et al.. (2023). Robust SAR Image Despeckling by Deep Learning From Near-Real Datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 2963–2979. 4 indexed citations
8.
Liu, Rui, Ying Xiao, Zhongyuan Wang, Jiayi Ma, & Xin Tian. (2023). Scanning-based compressive hyperspectral imaging via spectral-coded illumination. Optics Letters. 48(13). 3387–3387. 3 indexed citations
9.
Huang, Baojin, Zhongyuan Wang, Kui Jiang, et al.. (2022). Joint Segmentation and Identification Feature Learning for Occlusion Face Recognition. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10875–10888. 24 indexed citations
10.
Tian, Xin, et al.. (2022). MoG-DS: model-guided deep convolutional network for joint denoising and super-resolution of a single-photon counting image. Optics Express. 30(18). 33068–33068. 2 indexed citations
11.
Liu, Rui, et al.. (2022). Scanning-based photon-limited imaging through scattering media. Optics and Lasers in Engineering. 161. 107388–107388. 2 indexed citations
12.
Tian, Xin, et al.. (2022). Interpretable Poisson Optimization-Inspired Deep Network for Single-Photon Counting Image Denoising. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 5 indexed citations
13.
Tian, Xin, et al.. (2021). VP-Net: An Interpretable Deep Network for Variational Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 39 indexed citations
14.
Chen, Lei, Hongkun Chen, Guocheng Li, et al.. (2018). Coordination of SMES, SFCL and Distributed Generation Units for Micro-Grid Stability Enhancement via Wireless Communications. IEEE Access. 6. 36699–36710. 15 indexed citations
15.
Tian, Xin & Glen Murphy. (2013). Detection of Trimmed and Occluded Branches on Harvested Tree Stems using Texture Analysis. International Journal of Forest Engineering. 8(2).
16.
Tian, Xin, Yaakov Bar‐Shalom, Genshe Chen, Khanh Pham, & Erik Blasch. (2011). Track splitting technique for the contact lens problem. International Conference on Information Fusion. 1–8. 9 indexed citations
17.
Yuan, Ting, Yaakov Bar‐Shalom, & Xin Tian. (2011). Heterogeneous track-to-track fusion. International Conference on Information Fusion. 6. 1–8. 18 indexed citations
18.
Tian, Xin, Yaakov Bar‐Shalom, & Krishna R. Pattipati. (2010). Multi-step Look-Ahead Policy for Autonomous Cooperative Surveillance by UAVs in Hostile Environments.. 5. 3–17. 2 indexed citations
19.
Tian, Xin & Yaakov Bar‐Shalom. (2008). Sliding window test vs. single time test for Track-to-Track Association. International Conference on Information Fusion. 1–8. 16 indexed citations
20.
Tian, Xin. (2001). Color space-based skin color subspace. 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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