Pan Gao

1.7k total citations
73 papers, 1.2k citations indexed

About

Pan Gao is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Pan Gao has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 24 papers in Analytical Chemistry and 17 papers in Ecology. Recurrent topics in Pan Gao's work include Spectroscopy and Chemometric Analyses (23 papers), Smart Agriculture and AI (17 papers) and Remote Sensing in Agriculture (16 papers). Pan Gao is often cited by papers focused on Spectroscopy and Chemometric Analyses (23 papers), Smart Agriculture and AI (17 papers) and Remote Sensing in Agriculture (16 papers). Pan Gao collaborates with scholars based in China, United States and Singapore. Pan Gao's co-authors include Chu Zhang, Tianying Yan, Yong He, Wei Xu, Susu Zhu, Lei Zhou, Lei Feng, Qinlin Xiao, Xin Lv and Yue Xie and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Applied Catalysis B: Environmental.

In The Last Decade

Pan Gao

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Gao China 21 555 477 198 172 135 73 1.2k
Sergey Kucheryavskiy Denmark 19 658 1.2× 190 0.4× 382 1.9× 181 1.1× 198 1.5× 53 1.5k
Kaiyi Wang China 17 228 0.4× 310 0.6× 105 0.5× 120 0.7× 67 0.5× 84 1.4k
Jetsada Posom Thailand 18 440 0.8× 299 0.6× 195 1.0× 105 0.6× 137 1.0× 75 744
Te Ma Japan 17 552 1.0× 276 0.6× 181 0.9× 67 0.4× 150 1.1× 61 925
Zengling Yang China 23 482 0.9× 181 0.4× 568 2.9× 101 0.6× 182 1.3× 98 1.6k
Knut Kvaal Norway 22 268 0.5× 148 0.3× 340 1.7× 80 0.5× 61 0.5× 50 1.3k
Xuemei Liu China 19 368 0.7× 126 0.3× 178 0.9× 43 0.3× 86 0.6× 57 943
Torbjörn A. Lestander Sweden 27 421 0.8× 272 0.6× 1.3k 6.7× 77 0.4× 127 0.9× 63 2.1k
Samsuzana Abd Aziz Malaysia 18 368 0.7× 477 1.0× 378 1.9× 164 1.0× 29 0.2× 89 1.4k
Bagher Emadi Iran 22 258 0.5× 375 0.8× 227 1.1× 219 1.3× 56 0.4× 78 1.1k

Countries citing papers authored by Pan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Gao. A scholar is included among the top collaborators of Pan Gao 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 Pan Gao. Pan Gao 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.
Jin, Chunxiao, Pan Gao, Saisai Wang, et al.. (2025). Tailoring ultrastable CuNiCs amorphous cluster via entropy engineering for acetylene selective hydrogenation. Chemical Engineering Journal. 507. 160617–160617. 2 indexed citations
2.
Zhang, Li, et al.. (2025). Fig-YOLO: An Improved YOLOv11-Based Fig Detection Algorithm for Complex Environments. Foods. 14(23). 4154–4154.
3.
4.
Wu, Na, Pan Gao, Jie Wu, et al.. (2025). Rapid detection and visualization of physiological signatures in cotton leaves under Verticillium wilt stress. Artificial Intelligence in Agriculture. 15(4). 757–769.
5.
Peng, Xiaojiang, et al.. (2024). Self-ensembling for 3D point cloud domain adaptation. Image and Vision Computing. 154. 105409–105409. 1 indexed citations
6.
Tan, Fei, Peng Xing, Jing‐Kun Yan, et al.. (2024). Nondestructive detection of multiple qualities of dried jujube in different storage periods based on hyperspectral imaging combined with deep learning. Infrared Physics & Technology. 143. 105595–105595.
7.
Tan, Fei, Xiaoming Mo, Tianying Yan, et al.. (2023). Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes. Foods. 12(19). 3621–3621. 24 indexed citations
8.
Yan, Tianying, et al.. (2023). Jujube quality grading using a generative adversarial network with an imbalanced data set. Biosystems Engineering. 236. 224–237. 7 indexed citations
9.
Chen, Huixin, Tianying Yan, Fei Tan, et al.. (2023). Hyperspectral Classification of Frost Damage Stress in Tomato Plants Based on Few-Shot Learning. Agronomy. 13(9). 2348–2348. 6 indexed citations
10.
Qian, Jin, Peifang Wang, Jing Hu, et al.. (2023). Responses of riparian plant roots to acute combined nitrogen and phosphorus stress: changes in root morphology and antioxidant system. Aquatic Ecology. 57(3). 715–732. 5 indexed citations
11.
12.
Gao, Pan, et al.. (2023). A study on shipowner’s behavior intention to cross dam by integrating SEM-SD model. Advances in Complex Systems. 14(2). 1 indexed citations
13.
Feng, Feng, Chunxiao Jin, Saisai Wang, et al.. (2023). Self-oxidation of Au-[Bmim][Cl3] catalyst with enhanced activity and stability for acetylene hydrochlorination. Applied Catalysis A General. 661. 119238–119238. 10 indexed citations
14.
Gao, Pan, Mengli Zhang, Qiang Zhang, et al.. (2023). Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network. Land. 12(10). 1897–1897. 2 indexed citations
15.
Wu, Na, et al.. (2023). Early detection of cotton verticillium wilt based on root magnetic resonance images. Frontiers in Plant Science. 14. 1135718–1135718. 5 indexed citations
16.
17.
Li, Bin, et al.. (2020). Prediction of Eggplant Leaf Fv/Fm Based on Vis-NIR Spectroscopy. Guangpuxue yu guangpu fenxi. 40(9). 2834. 3 indexed citations
18.
Gao, Pan, et al.. (2019). Effects of manganese stress on seed germination, and seedling physiological and biochemical characteristics of Cleome viscosa.. Acta Pratacultural Science. 28(12). 75–84. 1 indexed citations
19.
20.
Gao, Pan, Heping Zhang, Peng Liu, & Wensheng Liu. (2017). Effect of manganese stress on seed germination, seedling physiological and biochemical characteristics of Xanthium sibiricum.. Acta Pratacultural Science. 26(11). 157–166. 4 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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