Wenting Quan

618 total citations · 1 hit paper
33 papers, 471 citations indexed

About

Wenting Quan is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, Wenting Quan has authored 33 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oceanography, 14 papers in Global and Planetary Change and 11 papers in Ecology. Recurrent topics in Wenting Quan's work include Marine and coastal ecosystems (21 papers), Water Quality Monitoring and Analysis (10 papers) and Remote Sensing in Agriculture (8 papers). Wenting Quan is often cited by papers focused on Marine and coastal ecosystems (21 papers), Water Quality Monitoring and Analysis (10 papers) and Remote Sensing in Agriculture (8 papers). Wenting Quan collaborates with scholars based in China, United Kingdom and United States. Wenting Quan's co-authors include Jun Chen, Tingwei Cui, Jun Chen, Qingjun Song, Kevin Tansey, Pengxin Wang, Junming Liu, Huiren Tian, Jie Wang and Jun Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Wenting Quan

31 papers receiving 459 citations

Hit Papers

A deep learning framework combining CNN and GRU for impro... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenting Quan China 11 257 163 131 105 91 33 471
Daniel Andrade Maciel Brazil 12 205 0.8× 160 1.0× 92 0.7× 128 1.2× 113 1.2× 27 427
Yong Sung Kwon South Korea 11 189 0.7× 209 1.3× 162 1.2× 128 1.2× 52 0.6× 19 608
Liesbeth De Keukelaere Belgium 6 150 0.6× 78 0.5× 89 0.7× 108 1.0× 114 1.3× 9 331
Dries Raymaekers Belgium 7 141 0.5× 85 0.5× 73 0.6× 177 1.7× 91 1.0× 17 470
Yanfang Xiao China 13 254 1.0× 53 0.3× 36 0.3× 232 2.2× 140 1.5× 27 516
Guanhua Zhou China 12 84 0.3× 51 0.3× 42 0.3× 83 0.8× 93 1.0× 44 369
Lien Rodríguez‐López Chile 11 86 0.3× 179 1.1× 61 0.5× 63 0.6× 98 1.1× 46 362
Yinguo Qiu China 12 125 0.5× 80 0.5× 29 0.2× 115 1.1× 100 1.1× 36 416
Fulvio Capodici Italy 15 85 0.3× 63 0.4× 22 0.2× 134 1.3× 162 1.8× 50 579

Countries citing papers authored by Wenting Quan

Since Specialization
Citations

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

Fields of papers citing papers by Wenting Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenting Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Wenting Quan. A scholar is included among the top collaborators of Wenting Quan 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 Wenting Quan. Wenting Quan 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.
Chen, Jun, et al.. (2025). Modeling the satellite instrument visibility range for detecting underwater targets. ISPRS Journal of Photogrammetry and Remote Sensing. 222. 64–78. 1 indexed citations
2.
Tian, Huiren, Pengxin Wang, Kevin Tansey, et al.. (2024). Attention mechanism-based deep learning approach for wheat yield estimation and uncertainty analysis from remotely sensed variables. Agricultural and Forest Meteorology. 356. 110183–110183. 10 indexed citations
3.
Chen, Jun, et al.. (2024). The importance of global synchronous observation for estimating oceanic chlorophyll-a. Ecological Indicators. 166. 112299–112299.
4.
Wang, Ying, Pengxin Wang, Kevin Tansey, et al.. (2024). An interpretable approach combining Shapley additive explanations and LightGBM based on data augmentation for improving wheat yield estimates. Computers and Electronics in Agriculture. 229. 109758–109758. 17 indexed citations
5.
Wang, Jie, Pengxin Wang, Huiren Tian, et al.. (2023). A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables. Computers and Electronics in Agriculture. 206. 107705–107705. 77 indexed citations breakdown →
6.
Quan, Wenting & Jun Chen. (2023). Algal Biological Features Viewed in Satellite Observations: A Case Study of the Bohai Sea. Remote Sensing. 15(20). 4999–4999. 1 indexed citations
7.
Li, Hualong, et al.. (2021). Effects of High Temperature Stress on Leaf Chlorophyll Fluorescence Characteristics of Kiwifruit. SHILAP Revista de lepidopterología. 32(4). 468–478.
8.
Chen, Jun, Xianqiang He, Wenting Quan, et al.. (2021). A Statistical Analysis of Residual Errors in Satellite Remote Sensing Reflectance Data From Oligotrophic Open Oceans. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 9 indexed citations
9.
Quan, Wenting, et al.. (2015). Remote Sensing Monitoring Planting Area of Winter Wheat in Guanzhong Using HJ Data. Yaogan jishu yu yingyong. 29(6). 930–934. 1 indexed citations
10.
Quan, Wenting, et al.. (2015). A Multi‐Band Semi‐Analytical Algorithm for Estimating Chlorophyll‐a Concentration in the Yellow River Estuary, China. Water Environment Research. 87(1). 44–51. 1 indexed citations
11.
Chen, Jun, et al.. (2014). Remote sensing of absorption and scattering coefficient using neural network model: Development, validation, and application. Remote Sensing of Environment. 149. 213–226. 41 indexed citations
12.
Quan, Wenting. (2014). Vicarious Cross-Calibration of the China Environment Satellite Using Nearly Simultaneously Observations of Landsat-7 ETM+ Sensor. Journal of the Indian Society of Remote Sensing. 42(3). 539–548. 3 indexed citations
13.
Chen, Jun, Xunhua Zhang, & Wenting Quan. (2013). Retrieval chlorophyll-a concentration from coastal waters: three-band semi-analytical algorithms comparison and development. Optics Express. 21(7). 9024–9024. 28 indexed citations
14.
Chen, Jun, et al.. (2013). Retrieval of absorption and backscattering coefficients from HJ-1A/CCD imagery in coastal waters. Optics Express. 21(5). 5803–5803. 14 indexed citations
15.
Chen, Jun & Wenting Quan. (2012). An improved algorithm for retrieving chlorophyll-a from the Yellow River Estuary using MODIS imagery. Environmental Monitoring and Assessment. 185(3). 2243–2255. 50 indexed citations
16.
Chen, Jun, Wenting Quan, Minwei Zhang, & Tingwei Cui. (2012). A Simple Atmospheric Correction Algorithm for MODIS in Shallow Turbid Waters: A Case Study in Taihu Lake. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(4). 1825–1833. 23 indexed citations
18.
Chen, Jun, Wenting Quan, & Kai Lu. (2011). Remote Sensing of Eupatorium Adenophorum Spreng Based on HJ-A Satellite Data. Journal of the Indian Society of Remote Sensing. 40(1). 29–36. 3 indexed citations
19.
Chen, Jun, et al.. (2010). [The spectrum characteristics of an invasion plant: Eupatorium adenophorum Spreng].. PubMed. 30(7). 1853–7. 1 indexed citations
20.
Quan, Wenting, et al.. (2010). [Application of dark pixels atmospheric correction algorithm to Hyperion imageries].. PubMed. 30(10). 2710–3. 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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