Long Qi

2.5k total citations
129 papers, 1.6k citations indexed

About

Long Qi is a scholar working on Plant Science, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Long Qi has authored 129 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 22 papers in Civil and Structural Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Long Qi's work include Smart Agriculture and AI (43 papers), Soil Mechanics and Vehicle Dynamics (19 papers) and Remote Sensing in Agriculture (12 papers). Long Qi is often cited by papers focused on Smart Agriculture and AI (43 papers), Soil Mechanics and Vehicle Dynamics (19 papers) and Remote Sensing in Agriculture (12 papers). Long Qi collaborates with scholars based in China, Canada and United States. Long Qi's co-authors include Xu Ma, Yu Jiang, Ruoling Deng, Zhiwei Zeng, Chuang Liu, Yuwei Wang, Ying Chen, Ming Wang, Hongwei Li and Ying Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Long Qi

114 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Qi China 25 835 300 247 228 223 129 1.6k
Xiwen Luo China 21 857 1.0× 516 1.7× 134 0.5× 108 0.5× 353 1.6× 173 1.6k
Stavros Vougioukas United States 27 1.1k 1.3× 314 1.0× 210 0.9× 134 0.6× 410 1.8× 107 2.1k
Brian L. Steward United States 21 558 0.7× 151 0.5× 260 1.1× 140 0.6× 158 0.7× 105 1.2k
H.T. Søgaard Denmark 20 794 1.0× 175 0.6× 275 1.1× 123 0.5× 135 0.6× 36 1.7k
John K. Schueller United States 21 726 0.9× 122 0.4× 211 0.9× 192 0.8× 308 1.4× 111 1.3k
Manuel Pérez Ruiz Spain 24 1.5k 1.8× 131 0.4× 509 2.1× 207 0.9× 149 0.7× 66 2.0k
Hans W. Griepentrog Germany 25 1.6k 1.9× 358 1.2× 342 1.4× 71 0.3× 335 1.5× 110 2.3k
Hak-Jin Kim South Korea 19 595 0.7× 118 0.4× 227 0.9× 87 0.4× 99 0.4× 100 1.3k
Dimitrios Katerıs Greece 18 597 0.7× 106 0.4× 189 0.8× 96 0.4× 172 0.8× 68 1.4k
Dimitrios S. Paraforos Germany 20 706 0.8× 253 0.8× 254 1.0× 51 0.2× 237 1.1× 67 1.2k

Countries citing papers authored by Long Qi

Since Specialization
Citations

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

Fields of papers citing papers by Long Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Long Qi. A scholar is included among the top collaborators of Long Qi 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 Long Qi. Long Qi 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.
Jia, Xin, Xiaobo Wu, Long Qi, et al.. (2025). CaTiO 3 /ZnO‐PVDF Composite‐Based Triboelectric Nanogenerators for Self‐Powered Gait Sensing. Advanced Functional Materials. 35(50). 3 indexed citations
2.
Qi, Long, Jian Wang, Ping Yang, et al.. (2025). The triboelectric nanogenerators based on the mace-like Cu2WS4@ZnO heterojunction for electrocatalytic degradation. Journal of Materials Science. 60(12). 5499–5510. 1 indexed citations
3.
Xie, Xingyu, et al.. (2025). On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. Journal of the American Statistical Association. 120(552). 2154–2164. 2 indexed citations
4.
5.
Chen, Zhiying, Chuang Liu, Zhenyu Tang, et al.. (2024). Vision-based trajectory generation and tracking algorithm for maneuvering of a paddy field robot. Computers and Electronics in Agriculture. 226. 109368–109368. 5 indexed citations
6.
Qi, Long, et al.. (2024). Design and test of target application system between rice plants based on light and tactile sensing. Crop Protection. 182. 106722–106722. 2 indexed citations
7.
Wang, Xicheng, Zehua Li, Hongwei Li, et al.. (2024). Research on density grading of hybrid rice machine-transplanted blanket-seedlings based on multi-source unmanned aerial vehicle data and mechanized transplanting test. Computers and Electronics in Agriculture. 222. 109070–109070. 3 indexed citations
8.
Wang, Jinwu, Zhe Liu, Wenqi Zhou, et al.. (2024). A Combined Paddy Field Inter-Row Weeding Wheel Based on Display Dynamics Simulation Increasing Weed Mortality. Agriculture. 14(3). 444–444. 3 indexed citations
9.
Qi, Long, et al.. (2024). Accurate recognition of rice plants based on visual and tactile sensing. Journal of the Science of Food and Agriculture. 104(7). 4268–4277. 6 indexed citations
10.
Tan, Jianwei, et al.. (2023). PosNet: Estimating lettuce fresh weight in plant factory based on oblique image. Computers and Electronics in Agriculture. 213. 108263–108263. 8 indexed citations
11.
Chen, Zhaoguo, et al.. (2023). A navigation method for paddy field management based on seedlings coordinate information. Computers and Electronics in Agriculture. 215. 108436–108436. 8 indexed citations
12.
Wang, Jian, Long Qi, Ping Yang, et al.. (2023). Ferroelectric BaTiO3@ZnO core-shell heterojunction triboelectric nanogenerators for electrochemical degradation of MO. Ceramics International. 50(3). 4841–4850. 12 indexed citations
13.
Liu, Chuang, et al.. (2023). Benefits of mechanical weeding for weed control, rice growth characteristics and yield in paddy fields. Field Crops Research. 293. 108852–108852. 26 indexed citations
14.
Yu, Jie, Huiwen Zheng, Yuwei Wang, et al.. (2023). In-field rice panicles detection and growth stages recognition based on RiceRes2Net. Computers and Electronics in Agriculture. 206. 107704–107704. 28 indexed citations
15.
Qi, Long, Haoting Chen, Dongyue He, et al.. (2023). NIR-II fluorescence and PA imaging guided activation of STING pathway in photothermal therapy for boosting cancer immunotherapy by theranostic thermosensitive liposomes. Journal of Materials Chemistry B. 11(35). 8528–8540. 9 indexed citations
16.
Ma, Xu, et al.. (2019). Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields. PLoS ONE. 14(4). e0215676–e0215676. 122 indexed citations
17.
Qi, Long, et al.. (2015). Automatic detection and counting method for spores of rice blast based on micro image processing.. Nongye gongcheng xuebao. 31(12). 186–193. 9 indexed citations
18.
Li, Zehua, et al.. (2015). Comparison and evaluation of different rice mechanized transplanting methods in double cropping area of South China.. Nongye gongcheng xuebao. 31(3). 40–47. 6 indexed citations
19.
Qi, Long, et al.. (2014). トウモロコシ刈り株の根土壌分離装置【Powered by NICT】. 45(6). 133–139. 1 indexed citations
20.
Qi, Long, et al.. (2011). Present status and prospects of mechanical weeding equipment and technology in paddy field. Nongye Gongcheng Xuebao. 27(6). 162–168. 10 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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