Yufei Liu

2.1k total citations · 1 hit paper
73 papers, 1.4k citations indexed

About

Yufei Liu is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Yufei Liu has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Analytical Chemistry. Recurrent topics in Yufei Liu's work include Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (9 papers) and Robotic Path Planning Algorithms (8 papers). Yufei Liu is often cited by papers focused on Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (9 papers) and Robotic Path Planning Algorithms (8 papers). Yufei Liu collaborates with scholars based in China, Japan and Egypt. Yufei Liu's co-authors include Jiahui Huang, Salmiza Saleh, Yong He, Mengcen Wang, Noboru Noguchi, Fuqiang Song, Xiaoxu Fan, Mostafa Gouda, Haruna Matsumoto and Tong Zhang and has published in prestigious journals such as Environmental Science & Technology, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Yufei Liu

66 papers receiving 1.4k citations

Hit Papers

A Review on Artificial Intelligence in Education 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yufei Liu China 23 550 156 150 135 128 73 1.4k
Tao Cheng China 21 235 0.4× 197 1.3× 132 0.9× 65 0.5× 149 1.2× 66 1.5k
Wanlin Gao China 20 576 1.0× 139 0.9× 146 1.0× 222 1.6× 24 0.2× 129 1.4k
Jan Pieters Belgium 31 1.3k 2.3× 304 1.9× 254 1.7× 40 0.3× 115 0.9× 173 3.2k
Yanfen Li China 21 297 0.5× 102 0.7× 76 0.5× 193 1.4× 19 0.1× 61 1.8k
Xiaochan Wang China 24 920 1.7× 195 1.3× 310 2.1× 62 0.5× 49 0.4× 166 2.4k
Kaiyi Wang China 17 310 0.6× 120 0.8× 228 1.5× 43 0.3× 366 2.9× 84 1.4k
Pingping Li China 25 1.1k 1.9× 124 0.8× 90 0.6× 63 0.5× 65 0.5× 81 1.7k
Tony E. Grift United States 26 1.1k 2.0× 226 1.4× 185 1.2× 107 0.8× 48 0.4× 101 3.3k
Knut Kvaal Norway 22 148 0.3× 80 0.5× 268 1.8× 60 0.4× 31 0.2× 50 1.3k
Redmond R. Shamshiri Germany 24 1.5k 2.7× 253 1.6× 27 0.2× 76 0.6× 90 0.7× 84 2.9k

Countries citing papers authored by Yufei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yufei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yufei Liu. A scholar is included among the top collaborators of Yufei Liu 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 Yufei Liu. Yufei Liu 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.
Liu, Yufei, et al.. (2025). ZPTM: Zigzag Path Tracking Method for Agricultural Vehicles Using Point Cloud Representation. Sensors. 25(4). 1110–1110. 1 indexed citations
2.
Yang, Liangliang, et al.. (2025). Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots. Computers in Industry. 167. 104272–104272. 5 indexed citations
3.
Liu, Tingting, Qin Gao, C Wang, et al.. (2025). Targeting the cGAS-STING Pathway for Cancer Immunotherapy: From Small-Molecule Agonists to Advanced Nanomaterials. Molecular Pharmaceutics. 22(12). 7262–7284.
4.
Yuan, Fenghui, et al.. (2025). Smart agriculture in Asia. Plant Communications. 6(7). 101377–101377.
5.
Cui, Bingbo, Jianxin Zhang, Xinhua Wei, et al.. (2024). Improved Information Fusion for Agricultural Machinery Navigation Based on Context-Constrained Kalman Filter and Dual-Antenna RTK. Actuators. 13(5). 160–160. 8 indexed citations
6.
Zheng, Hui, et al.. (2024). Deep Learning-Based Automated Cell Detection-Facilitated Meat Quality Evaluation. Foods. 13(14). 2270–2270. 5 indexed citations
7.
Gouda, Mostafa, Yong He, Xiaoli Li, et al.. (2024). Developing fluorescence hyperspectral imaging methods for non-invasive detection of herbicide safeners action mechanism and effectiveness. Plant Physiology and Biochemistry. 218. 109309–109309. 2 indexed citations
8.
Cui, Bingbo, et al.. (2024). Robust Attitude Estimation for Low-Dynamic Vehicles Based on MEMS-IMU and External Acceleration Compensation. Sensors. 24(14). 4623–4623. 2 indexed citations
9.
Li, Ruyue, Haruna Matsumoto, Mostafa Gouda, et al.. (2023). Predicting rice diseases using advanced technologies at different scales: present status and future perspectives. aBIOTECH. 4(4). 359–371. 14 indexed citations
10.
Liu, Lu, et al.. (2022). CAN BIOCHAR FULFILL THE NITROGEN NEED OF MAIZE UNDER REDUCED NITROGEN INPUT?. Environmental Engineering and Management Journal. 21(11). 1815–1824. 1 indexed citations
11.
Zhan, Chengfang, Haruna Matsumoto, Yufei Liu, & Mengcen Wang. (2022). Pathways to engineering the phyllosphere microbiome for sustainable crop production. Nature Food. 3(12). 997–1004. 65 indexed citations
12.
Liu, Yufei, et al.. (2022). Unmanned airboat technology and applications in environment and agriculture. Computers and Electronics in Agriculture. 197. 106920–106920. 14 indexed citations
14.
Gouda, Mostafa, Zhenxiong Huang, Yufei Liu, Yong He, & Xiaoli Li. (2021). Physicochemical impact of bioactive terpenes on the microalgae biomass structural characteristics. Bioresource Technology. 334. 125232–125232. 25 indexed citations
15.
Qiu, Zhengjun, Nan Zhao, Lei Zhou, et al.. (2020). Vision-Based Moving Obstacle Detection and Tracking in Paddy Field Using Improved Yolov3 and Deep SORT. Sensors. 20(15). 4082–4082. 41 indexed citations
16.
Fan, Xiaoyan, Haruna Matsumoto, Yue Wang, et al.. (2019). Microenvironmental Interplay Predominated by Beneficial Aspergillus Abates Fungal Pathogen Incidence in Paddy Environment. Environmental Science & Technology. 53(22). 13042–13052. 34 indexed citations
17.
Fang, Hui, Chen Hai, Hao Jiang, et al.. (2019). Research on Method of Farmland Obstacle Boundary Extraction in UAV Remote Sensing Images. Sensors. 19(20). 4431–4431. 4 indexed citations
18.
Margulis, S. A., et al.. (2019). A Joint Landsat- and MODIS-Based Reanalysis Approach for Midlatitude Montane Seasonal Snow Characterization. Frontiers in Earth Science. 7. 31 indexed citations
19.
He, Yong, et al.. (2018). Research progress of intelligent obstacle detection methods of vehicles and their application on agriculture.. Nongye gongcheng xuebao. 34(9). 21–32. 12 indexed citations
20.
Xie, Chaojun, Wenzhe Su, Kuibiao Li, et al.. (2016). [Effect of supply of fresh poultry products on reducing environment contamination of avian influenza virus in markets].. PubMed. 37(3). 353–7. 2 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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