Hengqian Yan

513 total citations
34 papers, 320 citations indexed

About

Hengqian Yan is a scholar working on Oceanography, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Hengqian Yan has authored 34 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oceanography, 15 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Hengqian Yan's work include Oceanographic and Atmospheric Processes (17 papers), Arctic and Antarctic ice dynamics (12 papers) and Soil Moisture and Remote Sensing (8 papers). Hengqian Yan is often cited by papers focused on Oceanographic and Atmospheric Processes (17 papers), Arctic and Antarctic ice dynamics (12 papers) and Soil Moisture and Remote Sensing (8 papers). Hengqian Yan collaborates with scholars based in China and United States. Hengqian Yan's co-authors include Ren Zhang, Senliang Bao, Huizan Wang, Jian Chen, Yangjun Wang, Mei Hong, Yang Yu, Gongjie Wang, Xiankui Zeng and Yuankun Wang and has published in prestigious journals such as IEEE Access, Remote Sensing and Environmental Research.

In The Last Decade

Hengqian Yan

31 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hengqian Yan China 8 188 140 93 77 25 34 320
Xiangbai Wu China 7 259 1.4× 122 0.9× 141 1.5× 39 0.5× 15 0.6× 18 332
Senliang Bao China 7 203 1.1× 100 0.7× 93 1.0× 65 0.8× 8 0.3× 39 274
E. J. Bayler United States 7 227 1.2× 132 0.9× 132 1.4× 63 0.8× 5 0.2× 19 288
Zenghong Liu China 12 361 1.9× 189 1.4× 173 1.9× 21 0.3× 23 0.9× 33 439
Eric T. Gorman United States 6 153 0.8× 142 1.0× 150 1.6× 22 0.3× 13 0.5× 16 325
В. Н. Лыкосов Russia 9 90 0.5× 196 1.4× 171 1.8× 41 0.5× 47 1.9× 25 304
Atanas Trayanov United States 7 77 0.4× 233 1.7× 206 2.2× 35 0.5× 15 0.6× 14 343
Mihir Kumar Dash India 12 249 1.3× 217 1.6× 162 1.7× 27 0.4× 19 0.8× 42 421
Maria C. Neves Portugal 13 65 0.3× 58 0.4× 59 0.6× 27 0.4× 6 0.2× 35 394

Countries citing papers authored by Hengqian Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hengqian Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengqian Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Hengqian Yan. A scholar is included among the top collaborators of Hengqian Yan 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 Hengqian Yan. Hengqian Yan 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.
Bao, Senliang, et al.. (2025). Super-Resolution Reconstruction of SMOS Sea Surface Salinity from Multivariate Satellite Observations Based on Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 24251–24266.
2.
Bao, Senliang, et al.. (2025). Daily Subsurface Salinity Reconstruction From Multisource Satellite Observations Using Wavelet-Enhanced 3-D Mamba. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 19. 3371–3388.
3.
Dai, Juan, et al.. (2025). Intercomparison of Multisatellite Merged CCI Sea Surface Salinity Product With SMOS, Aquarius, and SMAP. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 15137–15156. 2 indexed citations
4.
Yan, Hengqian, et al.. (2024). Estimating daily subsurface thermohaline structure from satellite data: A deep network with embedded empirical orthogonal functions. Deep Sea Research Part I Oceanographic Research Papers. 206. 104257–104257. 1 indexed citations
5.
Yan, Hengqian, et al.. (2024). Bias correction of Arctic sea ice thickness products based on factor selection and machine learning methods. Applied Ocean Research. 149. 104069–104069. 1 indexed citations
6.
Yan, Hengqian, et al.. (2024). Automatic Extraction of Internal Wave From Complex Background Using Polarimetric SAR and Convolutional Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16222–16235. 2 indexed citations
7.
Wang, Yangjun, et al.. (2024). Physics-informed deep convolutional network for combined sea ice concentration and velocity prediction. Ocean Engineering. 313. 119440–119440. 4 indexed citations
8.
Zhang, Ren, et al.. (2023). Ecological Vulnerability and Ecological Risk Assessment of Shanghai Section of Hangzhou Bay North Shore. Journal of Physics Conference Series. 2486(1). 12019–12019. 1 indexed citations
9.
Wang, Yangjun, et al.. (2023). Short-term Forecasting of Sea Ice Thickness Based on PredRNN++. Journal of Physics Conference Series. 2486(1). 12017–12017. 2 indexed citations
11.
Xu, Jing, et al.. (2022). A New Framework for Assessment of Offshore Wind Farm Location. Energies. 15(18). 6758–6758. 4 indexed citations
12.
Ma, Ming, et al.. (2022). KECANet: A novel convolutional kernel network for ocean SAR scene classification with limited labeled data. Frontiers in Marine Science. 9. 2 indexed citations
13.
Bao, Senliang, Huizan Wang, Ren Zhang, et al.. (2021). Application of Phenomena‐Resolving Assessment Methods to Satellite Sea Surface Salinity Products. Earth and Space Science. 8(8). 4 indexed citations
14.
Yan, Hengqian, Ren Zhang, Huizan Wang, Senliang Bao, & Chengzu Bai. (2021). Practical Dynamical-Statistical Reconstruction of Ocean’s Interior from Satellite Observations. Remote Sensing. 13(24). 5085–5085. 2 indexed citations
15.
Yan, Hengqian, Ren Zhang, Huizan Wang, et al.. (2021). A Surface Quasi‐Geostrophic‐Based Dynamical‐Statistical Framework to Retrieve Interior Temperature/Salinity From Ocean Surface. Journal of Geophysical Research Oceans. 126(10). 5 indexed citations
16.
17.
Yan, Hengqian, Huizan Wang, Ren Zhang, et al.. (2020). A Dynamical‐Statistical Approach to Retrieve the Ocean Interior Structure From Surface Data: SQG‐mEOF‐R. Journal of Geophysical Research Oceans. 125(2). 36 indexed citations
18.
Bao, Senliang, Huizan Wang, Ren Zhang, Hengqian Yan, & Jian Chen. (2019). Comparison of Satellite‐Derived Sea Surface Salinity Products from SMOS, Aquarius, and SMAP. Journal of Geophysical Research Oceans. 124(3). 1932–1944. 63 indexed citations
19.
Bao, Senliang, Ren Zhang, Huizan Wang, et al.. (2018). Salinity Profile Estimation in the Pacific Ocean from Satellite Surface Salinity Observations. Journal of Atmospheric and Oceanic Technology. 36(1). 53–68. 49 indexed citations
20.
Hong, Mei, Dong Wang, Yuankun Wang, et al.. (2015). Mid- and long-term runoff predictions by an improved phase-space reconstruction model. Environmental Research. 148. 560–573. 31 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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