Hong Shu

2.3k total citations · 2 hit papers
75 papers, 1.6k citations indexed

About

Hong Shu is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Hong Shu has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 23 papers in Environmental Engineering. Recurrent topics in Hong Shu's work include Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (13 papers) and Remote Sensing and Land Use (9 papers). Hong Shu is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (13 papers) and Remote Sensing and Land Use (9 papers). Hong Shu collaborates with scholars based in China, Pakistan and United States. Hong Shu's co-authors include Aqil Tariq, Rana Waqar Aslam, Yanfei Zhong, Liangpei Zhang, Ji Zhao, Andaleeb Yaseen, Saima Siddiqui, Jianhui Xu, Linlin Lu and B. G. Mousa and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Hong Shu

74 papers receiving 1.6k citations

Hit Papers

Monitoring landuse change in Uchhali and Khabeki wetland ... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Shu China 26 690 509 400 400 206 75 1.6k
Stephen McNeill New Zealand 17 366 0.5× 498 1.0× 477 1.2× 209 0.5× 139 0.7× 55 1.6k
Kai Liu China 27 921 1.3× 601 1.2× 1.1k 2.7× 480 1.2× 339 1.6× 218 2.8k
Zhen Yu China 32 1.2k 1.7× 333 0.7× 557 1.4× 357 0.9× 113 0.5× 90 2.8k
Hao Wu China 23 701 1.0× 436 0.9× 225 0.6× 287 0.7× 171 0.8× 157 2.0k
Mateo Gašparović Croatia 24 493 0.7× 722 1.4× 696 1.7× 234 0.6× 247 1.2× 83 1.7k
Wenbo Xu China 22 422 0.6× 329 0.6× 258 0.6× 231 0.6× 266 1.3× 132 2.0k
Alireza Sharifi Iran 36 836 1.2× 575 1.1× 946 2.4× 614 1.5× 665 3.2× 74 2.6k
Guang Liu China 23 263 0.4× 267 0.5× 246 0.6× 715 1.8× 69 0.3× 182 3.0k
Shi Qiu China 23 869 1.3× 878 1.7× 951 2.4× 617 1.5× 401 1.9× 53 2.9k

Countries citing papers authored by Hong Shu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shu. A scholar is included among the top collaborators of Hong Shu 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 Hong Shu. Hong Shu 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
2.
Aslam, Rana Waqar, Iram Naz, Hong Shu, et al.. (2024). Multi-temporal image analysis of wetland dynamics using machine learning algorithms. Journal of Environmental Management. 371. 123123–123123. 33 indexed citations
4.
Aslam, Rana Waqar, et al.. (2024). Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data. Remote Sensing. 16(5). 928–928. 54 indexed citations breakdown →
5.
Aslam, Rana Waqar, Hong Shu, Farhan Mustafa, et al.. (2023). Wetland identification through remote sensing: Insights into wetness, greenness, turbidity, temperature, and changing landscapes. Big Data Research. 35. 100416–100416. 53 indexed citations
6.
Aslam, Rana Waqar, et al.. (2023). Identification of time-varying wetlands neglected in Pakistan through remote sensing techniques. Environmental Science and Pollution Research. 30(29). 74031–74044. 59 indexed citations
7.
Shu, Hong, et al.. (2022). Evaluation of Community Livability Using Gridded Basic Urban Geographical Data—A Case Study of Wuhan. ISPRS International Journal of Geo-Information. 11(1). 38–38. 13 indexed citations
8.
Li, Yize, et al.. (2022). Spatiotemporal estimation of model error to improve soil moisture analysis in ensemble Kalman filter data assimilation. Journal of Applied Remote Sensing. 16(3). 1 indexed citations
9.
Tariq, Aqil, Hong Shu, Saima Siddiqui, et al.. (2021). Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods. Journal of Forestry Research. 33(1). 183–194. 82 indexed citations
10.
Mousa, B. G., Hong Shu, Mohamed Freeshah, & Aqil Tariq. (2020). A Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio. Remote Sensing. 12(22). 3804–3804. 14 indexed citations
11.
Wu, Kai, Lei Nie, & Hong Shu. (2019). A comparison of SMAP and SMOS L-band brightness temperature observations over the global landmass. International Journal of Remote Sensing. 41(2). 399–419. 7 indexed citations
12.
Li, Sha, Daniel A. Griffith, & Hong Shu. (2019). Temperature prediction based on a space–time regression-kriging model. Journal of Applied Statistics. 47(7). 1168–1190. 11 indexed citations
13.
Shu, Hong, et al.. (2018). Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China. Earth Science Informatics. 12(1). 43–56. 35 indexed citations
14.
Shu, Hong. (2016). Big data analytics: six techniques. Geo-spatial Information Science. 19(2). 119–128. 35 indexed citations
15.
Shu, Hong, et al.. (2010). Isotropic Random Fields with the Von Kármán–Whittle Type Correlation Structure. Communication in Statistics- Theory and Methods. 39(19). 3504–3512. 1 indexed citations
16.
Shu, Hong. (2009). TIME-SCALE EFFECTS ON ACCURACY OF SPATIALLY KRIGING INTERPOLATION FOR RAINFALL DATA. 1 indexed citations
17.
Shu, Hong. (2007). A Unification of Gail Langran's Spatio-temporal Data Models. Wuhan Daxue xuebao. Xinxi kexue ban. 2 indexed citations
18.
Zhang, Xuan, Hong Shu, Fuxun Zhang, Xinping Tian, & Yujun Dong. (2006). Cell-ELISA detection of antineuronal antibodies in central nervous system involvement in systemic lupus erythematosus. Annals of the Rheumatic Diseases. 66(4). 530–532. 11 indexed citations
19.
Shu, Hong. (2004). The Being of Geographical Space. Editorial Board of Geomatics and Information Science of Wuhan University. 1 indexed citations
20.
Shu, Hong. (2003). RESEARCH ON DYNAMICS OF COMMUNITY AND POPULATION OF BROUSSNETIA PAPYRIFERA IN MUFU MOUNTAIN NANJING. Applied Mechanics and Materials. 1 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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