Yanqi Dong

477 total citations
20 papers, 331 citations indexed

About

Yanqi Dong is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Yanqi Dong has authored 20 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 8 papers in Ecology and 7 papers in Nature and Landscape Conservation. Recurrent topics in Yanqi Dong's work include Remote Sensing and LiDAR Applications (10 papers), Forest ecology and management (7 papers) and Remote Sensing in Agriculture (5 papers). Yanqi Dong is often cited by papers focused on Remote Sensing and LiDAR Applications (10 papers), Forest ecology and management (7 papers) and Remote Sensing in Agriculture (5 papers). Yanqi Dong collaborates with scholars based in China, Netherlands and United States. Yanqi Dong's co-authors include Feixiang Chen, Guangpeng Fan, Liangliang Nan, Danyu Chen, Xiaohui Su, Fu Xu, Zhibin Ma, Zhiming Wang, Hao Li and Hao Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Remote Sensing.

In The Last Decade

Yanqi Dong

20 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanqi Dong China 10 206 130 69 56 49 20 331
Guangpeng Fan China 9 205 1.0× 131 1.0× 73 1.1× 73 1.3× 36 0.7× 22 320
Lloyd Windrim Australia 9 134 0.7× 69 0.5× 24 0.3× 70 1.3× 36 0.7× 11 316
Rodrigo Vieira Leite Brazil 9 206 1.0× 115 0.9× 24 0.3× 126 2.3× 41 0.8× 29 341
Jan–Peter Mund Germany 9 189 0.9× 115 0.9× 16 0.2× 108 1.9× 72 1.5× 26 361
Martin Krůček Czechia 8 300 1.5× 230 1.8× 25 0.4× 114 2.0× 66 1.3× 12 430
Martin Slavík Czechia 7 217 1.1× 113 0.9× 21 0.3× 82 1.5× 82 1.7× 33 294
Yuanshuo Hao China 10 223 1.1× 178 1.4× 32 0.5× 94 1.7× 23 0.5× 31 303
Karel Kuželka Czechia 10 352 1.7× 157 1.2× 23 0.3× 153 2.7× 148 3.0× 21 434
Diogo Nepomuceno Cosenza Brazil 11 269 1.3× 165 1.3× 27 0.4× 122 2.2× 67 1.4× 24 334
Luka Jurjević Croatia 8 215 1.0× 96 0.7× 9 0.1× 87 1.6× 88 1.8× 12 289

Countries citing papers authored by Yanqi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yanqi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yanqi Dong. A scholar is included among the top collaborators of Yanqi Dong 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 Yanqi Dong. Yanqi Dong 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.
Dong, Yanqi, et al.. (2025). Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species. Ecological Informatics. 86. 103029–103029. 2 indexed citations
2.
Wang, Qi, et al.. (2024). Image Classification of Tree Species in Relatives Based on Dual-Branch Vision Transformer. Forests. 15(12). 2243–2243. 3 indexed citations
3.
Xu, Nuo, Zhibin Ma, Yanqi Dong, et al.. (2024). A Serial Multi-Scale Feature Fusion and Enhancement Network for Amur Tiger Re-Identification. Animals. 14(7). 1106–1106. 3 indexed citations
4.
Ma, Zhibin, et al.. (2024). Wildlife Real-Time Detection in Complex Forest Scenes Based on YOLOv5s Deep Learning Network. Remote Sensing. 16(8). 1350–1350. 11 indexed citations
5.
Su, Xiaohui, Jiawei Zhang, Zhibin Ma, et al.. (2024). Identification of Rare Wildlife in the Field Environment Based on the Improved YOLOv5 Model. Remote Sensing. 16(9). 1535–1535. 11 indexed citations
6.
Dong, Yanqi, Zhibin Ma, Nuo Xu, et al.. (2024). MAFIKD: A Real-Time Pest Detection Method Based on Knowledge Distillation. IEEE Sensors Journal. 24(20). 33715–33735. 2 indexed citations
7.
Ma, Zhibin, et al.. (2023). Forest-PointNet: A Deep Learning Model for Vertical Structure Segmentation in Complex Forest Scenes. Remote Sensing. 15(19). 4793–4793. 9 indexed citations
8.
Dong, Yanqi, Zhibin Ma, Fu Xu, Xiaohui Su, & Feixiang Chen. (2023). Combining the Back Propagation Neural Network and Particle Swarm Optimization Algorithm for Lithological Mapping in North China. Remote Sensing. 15(17). 4134–4134. 4 indexed citations
9.
Guo, Suiqun, et al.. (2023). Reduced 2,4‐dienoyl‐CoA reductase 1 is served as an unfavorable biomarker and is related to immune infiltration in cervical cancer. Journal of obstetrics and gynaecology research. 49(10). 2475–2486. 2 indexed citations
10.
Dong, Yanqi, Zonglin He, Taoran Liu, et al.. (2022). Acceptance of and Preference for COVID-19 Vaccination in India, the United Kingdom, Germany, Italy, and Spain: An International Cross-Sectional Study. Vaccines. 10(6). 832–832. 9 indexed citations
11.
Li, Hao, et al.. (2022). Segmenting Individual Tree from TLS Point Clouds Using Improved DBSCAN. Forests. 13(4). 566–566. 35 indexed citations
12.
Dong, Yanqi, Zhibin Ma, Fu Xu, & Feixiang Chen. (2022). Unsupervised Semantic Segmenting TLS Data of Individual Tree Based on Smoothness Constraint Using Open-Source Datasets. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 8 indexed citations
13.
Dong, Yanqi, et al.. (2021). Low Cost Automatic Reconstruction of Tree Structure by AdQSM with Terrestrial Close-Range Photogrammetry. Forests. 12(8). 1020–1020. 22 indexed citations
14.
Dong, Yanqi, et al.. (2021). OLA1 is a potential prognostic molecular biomarker for endometrial cancer and promotes tumor progression. Oncology Letters. 22(2). 576–576. 5 indexed citations
15.
Fan, Guangpeng, Feixiang Chen, Danyu Chen, Yan Li, & Yanqi Dong. (2020). A Deep Learning Model for Quick and Accurate Rock Recognition with Smartphones. Mobile Information Systems. 2020. 1–14. 20 indexed citations
16.
Fan, Guangpeng, et al.. (2020). Measurement of volume and accuracy analysis of standing trees using Forest Survey Intelligent Dendrometer. Computers and Electronics in Agriculture. 169. 105211–105211. 10 indexed citations
17.
Fan, Guangpeng, Liangliang Nan, Yanqi Dong, Xiaohui Su, & Feixiang Chen. (2020). AdQSM: A New Method for Estimating Above-Ground Biomass from TLS Point Clouds. Remote Sensing. 12(18). 3089–3089. 84 indexed citations
18.
Fan, Guangpeng, Yanqi Dong, Danyu Chen, & Feixiang Chen. (2020). New Method for Forest Resource Data Collection Based on Smartphone Fusion with Multiple Sensors. Mobile Information Systems. 2020. 1–11. 7 indexed citations
19.
Fan, Guangpeng, Liangliang Nan, Feixiang Chen, et al.. (2020). A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds. Remote Sensing. 12(11). 1779–1779. 52 indexed citations
20.
Fan, Guangpeng, Feixiang Chen, Danyu Chen, & Yanqi Dong. (2020). Recognizing Multiple Types of Rocks Quickly and Accurately Based on Lightweight CNNs Model. IEEE Access. 8. 55269–55278. 32 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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