Sunan Shi

430 total citations · 1 hit paper
13 papers, 321 citations indexed

About

Sunan Shi is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, Sunan Shi has authored 13 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Atmospheric Science and 5 papers in Ecology. Recurrent topics in Sunan Shi's work include Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (7 papers) and Land Use and Ecosystem Services (3 papers). Sunan Shi is often cited by papers focused on Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (7 papers) and Land Use and Ecosystem Services (3 papers). Sunan Shi collaborates with scholars based in China and United States. Sunan Shi's co-authors include Yanfei Zhong, Liangpei Zhang, Deren Li, Xi Guo, Qingfeng Guan, Weihuan Deng, Qiqi Zhu, Yinhe Liu, Ji Zhao and Pengyuan Lv and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Sunan Shi

12 papers receiving 318 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.

Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery

2021 212 citations Qiqi Zhu, Xi Guo et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunan Shi China	6	220	137	111	72	66	13	321
Weihuan Deng China	4	276 1.3×	161 1.2×	92 0.8×	65 0.9×	88 1.3×	11	383
Huiwei Jiang China	6	282 1.3×	212 1.5×	124 1.1×	49 0.7×	68 1.0×	9	395
Ava Vali Italy	3	182 0.8×	102 0.7×	122 1.1×	70 1.0×	38 0.6×	4	297
Baipeng Li China	6	253 1.1×	125 0.9×	89 0.8×	32 0.4×	103 1.6×	9	341
Zhuoqun Chai China	5	239 1.1×	169 1.2×	104 0.9×	31 0.4×	52 0.8×	8	323
Jiage Chen China	10	212 1.0×	166 1.2×	206 1.9×	106 1.5×	59 0.9×	22	425
Pan Chen China	10	333 1.5×	223 1.6×	125 1.1×	38 0.5×	66 1.0×	25	437
Arati Paul India	11	170 0.8×	113 0.8×	50 0.5×	72 1.0×	71 1.1×	31	301
Haobo Lyu China	6	271 1.2×	228 1.7×	166 1.5×	77 1.1×	37 0.6×	7	383
Chengxi Han China	6	243 1.1×	137 1.0×	63 0.6×	24 0.3×	73 1.1×	12	337

Countries citing papers authored by Sunan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Sunan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Sunan Shi. A scholar is included among the top collaborators of Sunan Shi 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 Sunan Shi. Sunan Shi 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:

13 of 13 papers shown

1.

Wang, Lihua, Jian Xu, Sunan Shi, et al.. (2025). Water-Body Monitoring and Erosion–Deposition Analysis of East Dongting Lake Based on Long Time-Series Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 17580–17591. 1 indexed citations

2.

Xu, Jian, Xianjun Gao, Guozhong Li, et al.. (2025). Combining Global Features and Local Interoperability Optimization Method for Extracting and Connecting Fine Rivers. Remote Sensing. 17(5). 742–742. 1 indexed citations

3.

Shi, Sunan, et al.. (2025). Multi-temporal high-resolution urban land-use mapping and change analysis based on a deep geospatial-temporal adaptation network. Remote Sensing of Environment. 328. 114912–114912.

4.

Liu, Yinhe, Yanfei Zhong, Sunan Shi, & Liangpei Zhang. (2024). Scale-aware deep reinforcement learning for high resolution remote sensing imagery classification. ISPRS Journal of Photogrammetry and Remote Sensing. 209. 296–311. 13 indexed citations

5.

Zhang, Longjun, Le Zhang, Chi Zhang, et al.. (2024). circTADA2A inhibited SLC38A1 expression and suppresses melanoma progression through the prevention of CNBP trans-activation. PLoS ONE. 19(4). e0301356–e0301356. 1 indexed citations

6.

Liu, Yinhe, et al.. (2024). MapChange: Enhancing Semantic Change Detection with Temporal-Invariant Historical Maps Based on Deep Triplet Network. 12. 7653–7656. 1 indexed citations

7.

Shi, Sunan, Yanfei Zhong, Yinhe Liu, Liangpei Zhang, & Deren Li. (2024). Cross-temporal high spatial resolution urban scene classification and change detection based on a class-weighted deep adaptation network. 3(1). 12 indexed citations

8.

Shi, Sunan, Yanfei Zhong, Yinhe Liu, et al.. (2023). Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping. International Journal of Digital Earth. 16(1). 3321–3347. 13 indexed citations

9.

Liu, Yinhe, Sunan Shi, Junjue Wang, & Yanfei Zhong. (2023). Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning. 16822–16832. 14 indexed citations

10.

Wu, Yingxin, Yinhe Liu, Sunan Shi, & Yanfei Zhong. (2023). High-Resolution Fine-Grained Wetland Mapping Based on Class-Balanced Deep Semantic Segmentation Networks. 5336–5339. 2 indexed citations

11.

Shi, Sunan, Yanfei Zhong, Yinhe Liu, Jue Wang, & Deren Li. (2022). Semantic Change Detection Based on a New Chinese Satellite Dataset and a Deep Conditional Random Field Framework. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. pp. 6344–6347. 3 indexed citations

12.

Zhu, Qiqi, Xi Guo, Weihuan Deng, et al.. (2021). Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 184. 63–78. 212 indexed citations breakdown →

13.

Shi, Sunan, Yanfei Zhong, Ji Zhao, et al.. (2020). Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 48 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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