Changkai Wen

520 total citations
37 papers, 330 citations indexed

About

Changkai Wen is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Plant Science. According to data from OpenAlex, Changkai Wen has authored 37 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 16 papers in Civil and Structural Engineering and 10 papers in Plant Science. Recurrent topics in Changkai Wen's work include Soil Mechanics and Vehicle Dynamics (16 papers), Agricultural Engineering and Mechanization (11 papers) and Electric and Hybrid Vehicle Technologies (9 papers). Changkai Wen is often cited by papers focused on Soil Mechanics and Vehicle Dynamics (16 papers), Agricultural Engineering and Mechanization (11 papers) and Electric and Hybrid Vehicle Technologies (9 papers). Changkai Wen collaborates with scholars based in China. Changkai Wen's co-authors include Bin Xie, Zhenghe Song, Xueyan Zhao, Shengli Zhang, Zhijun Meng, Chunjiang Zhao, Zhongxiang Zhu, Zhongju Chen, Zhen Li and Xiuheng Wu and has published in prestigious journals such as Scientific Reports, Applied Energy and Energy.

In The Last Decade

Changkai Wen

36 papers receiving 322 citations

Peers

Changkai Wen

CSE

EEE

Seung-Yun Baek South Korea

Zhixiong Lu China

Qizhi Yang China

Shuren Chen China

Yuefeng Du China

Bin Xie China

Vladimir V. Vantsevich United States

Jianping Hu China

Arzhang Javadi Iran

Muneshi Mitsuoka Japan

Seung-Yun Baek South Korea

Changkai Wen

191 ×1.2

179 ×1.2

CSE

86 ×0.8

37 ×0.5

41 ×0.8

EEE

Citations per year, relative to Changkai Wen Changkai Wen (= 1×) peers Seung-Yun Baek

Countries citing papers authored by Changkai Wen

Since Specialization

Citations

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

Fields of papers citing papers by Changkai Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changkai Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Changkai Wen. A scholar is included among the top collaborators of Changkai Wen 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 Changkai Wen. Changkai Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xie, Bin, et al.. (2025). Improved SAC reinforcement learning algorithm: Active control of drive wheel torque to improve energy utilization and reduce power consumption in electric tractors. Computers and Electronics in Agriculture. 241. 111258–111258.

Yu, Qiang, et al.. (2025). Dual-layer adaptive power management strategy for E-tractor incorporating operating information and deep reinforcement learning. Energy. 319. 134942–134942. 1 indexed citations

Wang, Dongqing, et al.. (2025). Sensorless wet clutch pressure control method for high-power tractors using physical and digital twins. Biosystems Engineering. 261. 104322–104322. 1 indexed citations

Zhu, Qingzhen, Mengnan Liu, Chunjiang Zhao, et al.. (2025). Quality and Efficiency of a Brain-Smart Electric Tractor Unit Operation Control Mechanism: Instant Information Interaction and Collaborative Task Management. Engineering. 52. 217–228. 2 indexed citations

Wang, Qian, Zhijun Meng, Feng Wang, et al.. (2025). A fuzzy decision-making algorithm-based header height measurement system for combine harvester. Measurement. 249. 116918–116918. 2 indexed citations

Xie, Bin, et al.. (2024). Energy-saving drive control strategy for electric tractors based on terrain parameter identification. Applied Energy. 376. 124230–124230. 3 indexed citations

Xie, Bin, Zhongju Chen, Shengli Zhang, et al.. (2024). Learning-based double layer control method of yaw stability simulation research for rear wheel independent drive electric tractor plowing operation. Computers and Electronics in Agriculture. 221. 108985–108985. 3 indexed citations

Wang, Qian, Zhijun Meng, Changkai Wen, et al.. (2024). Grain combine harvester header profiling control system development and testing. Computers and Electronics in Agriculture. 223. 109082–109082. 11 indexed citations

Zhang, Bing, Tiecheng Bai, Gang Wu, et al.. (2024). Fatigue Analysis of Shovel Body Based on Tractor Subsoiling Operation Measured Data. Agriculture. 14(9). 1604–1604. 7 indexed citations

10.

Chen, Liping, et al.. (2024). Construction method and case study of digital twin system for combine harvester. Computers and Electronics in Agriculture. 226. 109395–109395. 6 indexed citations

11.

Wen, Changkai, et al.. (2023). Quality prediction of tractor rotary tillage based on BiConvLSTM with self-attention. Computers and Electronics in Agriculture. 206. 107643–107643. 6 indexed citations

12.

Zhang, Shengli, Bin Xie, Changkai Wen, et al.. (2023). A combined control method of traction and ballast for an electric tractor in ploughing based on load transfer. Computers and Electronics in Agriculture. 207. 107750–107750. 18 indexed citations

13.

Lü, Hao, et al.. (2023). Interactive image segmentation based field boundary perception method and software for autonomous agricultural machinery path planning. Computers and Electronics in Agriculture. 217. 108568–108568. 4 indexed citations

14.

Wu, Guangwei, et al.. (2023). Optimized Design and Experiment of a Self-Covering Furrow Opener for an Automatic Sweet Potato Seedling Transplanting Machine. Sustainability. 15(17). 13091–13091. 6 indexed citations

15.

Gao, Ning, et al.. (2023). Construction and Test of Baler Feed Rate Detection Model Based on Power Monitoring. Agronomy. 13(2). 425–425. 4 indexed citations

16.

Li, Hanqing, et al.. (2023). Structural optimization method of rice precision direct seed-metering device based on multi-index orthogonal experimental. Frontiers in Plant Science. 14. 1183624–1183624. 8 indexed citations

17.

Wen, Changkai, et al.. (2023). Research on the Slip Rate Control of a Power Shift Tractor Based on Wheel Speed and Tillage Depth Adjustment. Agronomy. 13(2). 281–281. 10 indexed citations

18.

Wen, Changkai, et al.. (2023). An improved LSTM-based model for identifying high working intensity load segments of the tractor load spectrum. Computers and Electronics in Agriculture. 210. 107879–107879. 8 indexed citations

19.

Chen, Jingping, et al.. (2022). Development and Application of a Remote Monitoring System for Agricultural Machinery Operation in Conservation Tillage. Agriculture. 12(9). 1460–1460. 4 indexed citations

20.

Song, Zhenghe, et al.. (2020). Modeling and evaluation of attention allocation in an intelligent tractor head‐up display interface. Human Factors and Ergonomics in Manufacturing & Service Industries. 30(3). 204–220. 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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