Shang Tian

558 total citations
12 papers, 390 citations indexed

About

Shang Tian is a scholar working on Oceanography, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Shang Tian has authored 12 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oceanography, 7 papers in Environmental Engineering and 6 papers in Water Science and Technology. Recurrent topics in Shang Tian's work include Marine and coastal ecosystems (9 papers), Water Quality and Pollution Assessment (5 papers) and Hydrological Forecasting Using AI (5 papers). Shang Tian is often cited by papers focused on Marine and coastal ecosystems (9 papers), Water Quality and Pollution Assessment (5 papers) and Hydrological Forecasting Using AI (5 papers). Shang Tian collaborates with scholars based in China. Shang Tian's co-authors include Jinhui Jeanne Huang‬‬‬‬, Xiaotong Zhu, Hongwei Guo, Xu Wang, Zijie Zhang, Bo Wang, Xiangling Ding, Dengyong Zhang, Feng Li and Shanshan Wang and has published in prestigious journals such as Water Research, Environmental Pollution and Journal of Hydrology.

In The Last Decade

Shang Tian

12 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang Tian China 9 217 126 125 122 45 12 390
Maéva Doron France 13 72 0.3× 55 0.4× 297 2.4× 39 0.3× 147 3.3× 28 569
Hongwei Guo China 11 318 1.5× 188 1.5× 171 1.4× 169 1.4× 93 2.1× 16 515
Wenting Quan China 11 163 0.8× 131 1.0× 257 2.1× 78 0.6× 91 2.0× 33 471
Yinjun Zhang China 8 244 1.1× 52 0.4× 41 0.3× 86 0.7× 51 1.1× 31 422
TaeHo Kim South Korea 8 134 0.6× 68 0.5× 58 0.5× 100 0.8× 37 0.8× 13 292
Charles V. Privette United States 9 144 0.7× 47 0.4× 29 0.2× 99 0.8× 42 0.9× 22 322
Guanhua Zhou China 12 51 0.2× 42 0.3× 84 0.7× 72 0.6× 93 2.1× 44 369
Manuel Arias Italy 9 63 0.3× 88 0.7× 60 0.5× 38 0.3× 31 0.7× 19 309
Liangzhi Li China 12 82 0.4× 32 0.3× 40 0.3× 76 0.6× 100 2.2× 33 409
Bruce King Hong Kong 9 40 0.2× 24 0.2× 50 0.4× 190 1.6× 59 1.3× 24 390

Countries citing papers authored by Shang Tian

Since Specialization
Citations

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

Fields of papers citing papers by Shang Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Tian

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

All Works

12 of 12 papers shown
1.
Tian, Shang, Xiaotong Zhu, Han Zhang, et al.. (2025). An optimal strategy for estimating chlorophyll-a concentration in case II waters to support sustainable development goals. Advances in Space Research. 75(10). 7195–7211. 1 indexed citations
2.
Zhang, Zijie, Han Zhang, Y. Jin, et al.. (2024). Analysing the spatiotemporal variation and influencing factors of Lake Chaohu's CDOM over the past 40 years using machine learning. Ecohydrology. 17(3). 3 indexed citations
3.
Guo, Hongwei, et al.. (2024). Spatiotemporal variation reconstruction of total phosphorus in the Great Lakes since 2002 using remote sensing and deep neural network. Water Research. 255. 121493–121493. 17 indexed citations
4.
Guo, Hongwei, Xiaotong Zhu, Jinhui Jeanne Huang‬‬‬‬, et al.. (2023). An enhanced deep learning approach to assessing inland lake water quality and its response to climate and anthropogenic factors. Journal of Hydrology. 620. 129466–129466. 27 indexed citations
5.
Tian, Shang, Haiyan Tu, Ling He, Yue Ivan Wu, & Xiujuan Zheng. (2023). FreeGaze: A Framework for 3D Gaze Estimation Using Appearance Cues from a Facial Video. Sensors. 23(23). 9604–9604. 2 indexed citations
6.
Zhu, Xiaotong, et al.. (2023). A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters. Journal of Hydrology. 619. 129207–129207. 42 indexed citations
7.
Tian, Shang, Hongwei Guo, Xu Wang, et al.. (2022). Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms. Environmental Science and Pollution Research. 30(7). 18617–18630. 62 indexed citations
8.
Zhu, Xiaotong, et al.. (2022). An ensemble machine learning model for water quality estimation in coastal area based on remote sensing imagery. Journal of Environmental Management. 323. 116187–116187. 64 indexed citations
9.
Tian, Shang, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬, Xiaotong Zhu, & Zijie Zhang. (2022). Comprehensive comparison performances of Landsat-8 atmospheric correction methods for inland and coastal waters. Geocarto International. 37(27). 15302–15323. 8 indexed citations
10.
Guo, Hongwei, et al.. (2021). A generalized machine learning approach for dissolved oxygen estimation at multiple spatiotemporal scales using remote sensing. Environmental Pollution. 288. 117734–117734. 57 indexed citations
11.
Guo, Hongwei, et al.. (2021). Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive. ISPRS Journal of Photogrammetry and Remote Sensing. 183. 451–469. 62 indexed citations
12.
Zhang, Dengyong, Shanshan Wang, Feng Li, et al.. (2020). An Efficient ECG Denoising Method Based on Empirical Mode Decomposition, Sample Entropy, and Improved Threshold Function. Wireless Communications and Mobile Computing. 2020. 1–11. 45 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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