Hongchao Cheng

499 total citations · 1 hit paper
16 papers, 329 citations indexed

About

Hongchao Cheng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Plant Science. According to data from OpenAlex, Hongchao Cheng has authored 16 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 5 papers in Mechanical Engineering and 5 papers in Plant Science. Recurrent topics in Hongchao Cheng's work include Fault Detection and Control Systems (10 papers), Smart Agriculture and AI (4 papers) and Mineral Processing and Grinding (4 papers). Hongchao Cheng is often cited by papers focused on Fault Detection and Control Systems (10 papers), Smart Agriculture and AI (4 papers) and Mineral Processing and Grinding (4 papers). Hongchao Cheng collaborates with scholars based in China, Australia and United Kingdom. Hongchao Cheng's co-authors include Daoping Huang, Yiqi Liu, Jing Wu, Xiaoqiang Du, Zenghong Ma, Zhichao Meng, Qilin Wang, Yiqi Liu, Mengxiang Wang and Chengjie Jiang and has published in prestigious journals such as IEEE Access, Industrial & Engineering Chemistry Research and Sensors.

In The Last Decade

Hongchao Cheng

15 papers receiving 323 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

STRAW-YOLO: A detection method for strawberry fruits targets and key points

2025 15 citations Zenghong Ma, Hongchao Cheng et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongchao Cheng China	12	144	99	72	56	46	16	329
Rongli Gai China	8	50 0.3×	194 2.0×	69 1.0×	61 1.1×	40 0.9×	36	453
Víctor Martínez-Martínez Spain	12	59 0.4×	131 1.3×	49 0.7×	60 1.1×	5 0.1×	29	380
Zeyu Jiao China	9	31 0.2×	53 0.5×	25 0.3×	14 0.3×	13 0.3×	32	316
Payam Zarafshan Iran	14	296 2.1×	77 0.8×	91 1.3×	11 0.2×	50 1.1×	67	569
Ebrahim Ebrahimi Iran	10	61 0.4×	53 0.5×	135 1.9×	50 0.9×	19 0.4×	31	419
Jayson Tessier Canada	8	70 0.5×	78 0.8×	245 3.4×	50 0.9×	108 2.3×	25	436
Edgar A. Rivas-Araiza Mexico	10	79 0.5×	125 1.3×	35 0.5×	8 0.1×	14 0.3×	27	420
Zhihua Diao China	12	53 0.4×	428 4.3×	41 0.6×	160 2.9×	10 0.2×	33	645
Rolla Almodfer China	9	53 0.4×	42 0.4×	42 0.6×	23 0.4×	7 0.2×	15	320

Countries citing papers authored by Hongchao Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Hongchao Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongchao Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Ma, Zenghong, et al.. (2025). STRAW-YOLO: A detection method for strawberry fruits targets and key points. Computers and Electronics in Agriculture. 230. 109853–109853. 15 indexed citations breakdown →

Meng, Zhichao, Xiaoqiang Du, Ranjan Sapkota, Zenghong Ma, & Hongchao Cheng. (2024). YOLOv10-pose and YOLOv9-pose: Real-time strawberry stalk pose detection models. Computers in Industry. 165. 104231–104231. 10 indexed citations

Du, Xiaoqiang, et al.. (2024). Comprehensive visual information acquisition for tomato picking robot based on multitask convolutional neural network. Biosystems Engineering. 238. 51–61. 12 indexed citations

Li, Mingzhu, et al.. (2023). Research on Soft Sensor Modeling of Support Vector Machine for Wastewater Treatment. 162–166.

Du, Xiaoqiang, Hongchao Cheng, Zenghong Ma, et al.. (2023). DSW-YOLO: A detection method for ground-planted strawberry fruits under different occlusion levels. Computers and Electronics in Agriculture. 214. 108304–108304. 65 indexed citations

Du, Xiaoqiang, et al.. (2023). Tomato 3D pose detection algorithm based on keypoint detection and point cloud processing. Computers and Electronics in Agriculture. 212. 108056–108056. 29 indexed citations

Chen, Honghua, et al.. (2022). Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network. ACS Omega. 7(38). 34389–34400. 17 indexed citations

Cheng, Hongchao, Jing Wu, Daoping Huang, Yiqi Liu, & Qilin Wang. (2021). Robust adaptive boosted canonical correlation analysis for quality-relevant process monitoring of wastewater treatment. ISA Transactions. 117. 210–220. 24 indexed citations

Cheng, Hongchao, Yiqi Liu, Daoping Huang, Baoping Cai, & Qilin Wang. (2021). Rebooting kernel CCA method for nonlinear quality-relevant fault detection in process industries. Process Safety and Environmental Protection. 149. 619–630. 32 indexed citations

10.

Wu, Jing, et al.. (2020). Learning soft sensors using time difference–based multi-kernel relevance vector machine with applications for quality-relevant monitoring in wastewater treatment. Environmental Science and Pollution Research. 27(23). 28986–28999. 21 indexed citations

11.

Cheng, Hongchao, et al.. (2020). A Novel Ensemble Adaptive Sparse Bayesian Transfer Learning Machine for Nonlinear Large-Scale Process Monitoring. Sensors. 20(21). 6139–6139. 14 indexed citations

12.

Cheng, Hongchao, Yiqi Liu, Daoping Huang, Yongping Pan, & Qilin Wang. (2020). Adaptive Transfer Learning of Cross-Spatiotemporal Canonical Correlation Analysis for Plant-Wide Process Monitoring. Industrial & Engineering Chemistry Research. 59(49). 21602–21614. 8 indexed citations

13.

Cheng, Hongchao, et al.. (2020). Pore structure characterization of oak via X-ray computed tomography. BioResources. 15(2). 3053–3063. 5 indexed citations

14.

Cheng, Hongchao, Jing Wu, Yiqi Liu, & Daoping Huang. (2019). A novel fault identification and root-causality analysis of incipient faults with applications to wastewater treatment processes. Chemometrics and Intelligent Laboratory Systems. 188. 24–36. 41 indexed citations

15.

Wu, Jing, Hongchao Cheng, Yiqi Liu, Bin Liu, & Daoping Huang. (2019). Modeling of Adaptive Multi-Output Soft-Sensors With Applications in Wastewater Treatments. IEEE Access. 7. 161887–161898. 19 indexed citations

16.

Cheng, Hongchao, Yiqi Liu, Daoping Huang, & Bin Liu. (2019). Optimized Forecast Components-SVM-Based Fault Diagnosis With Applications for Wastewater Treatment. IEEE Access. 7. 128534–128543. 17 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.

Explore authors with similar magnitude of impact