Honghai Ji

845 total citations
56 papers, 599 citations indexed

About

Honghai Ji is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Honghai Ji has authored 56 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Control and Systems Engineering, 11 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Honghai Ji's work include Iterative Learning Control Systems (14 papers), Traffic control and management (9 papers) and Distributed Control Multi-Agent Systems (9 papers). Honghai Ji is often cited by papers focused on Iterative Learning Control Systems (14 papers), Traffic control and management (9 papers) and Distributed Control Multi-Agent Systems (9 papers). Honghai Ji collaborates with scholars based in China and United States. Honghai Ji's co-authors include Zhongsheng Hou, Ruikun Zhang, Frank L. Lewis, Lingling Fan, Dariusz Mikulski, Shida Liu, Chenkun Yin, Xin Zhang, Ronghu Chi and Haibo Zhang and has published in prestigious journals such as Scientific Reports, Automatica and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Honghai Ji

45 papers receiving 589 citations

Peers

Honghai Ji
Byung‐Hun Lee South Korea
Ying Guo China
Rosbi Mamat Malaysia
Jiao Li China
Honghai Ji
Citations per year, relative to Honghai Ji Honghai Ji (= 1×) peers Bijan Moaveni

Countries citing papers authored by Honghai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Honghai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghai Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Honghai Ji. A scholar is included among the top collaborators of Honghai Ji 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 Honghai Ji. Honghai Ji 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, Shangtai, et al.. (2025). A Data-Driven Control Algorithm With Time Delay Compensation Based on Optimized Recursive Adaptive Identification for Magnetic Levitation Systems. IEEE Transactions on Automation Science and Engineering. 22. 12922–12936.
2.
Liu, Shida, et al.. (2025). An Improved Model Free Adaptive Control Algorithm for the Wheeled Robot With Time Delay and Data Dropout. International Journal of Robust and Nonlinear Control. 35(18). 7931–7941. 1 indexed citations
3.
Liu, Shida, et al.. (2025). A deep learning based detection algorithm for anomalous behavior and anomalous item on buses. Scientific Reports. 15(1). 2163–2163. 1 indexed citations
4.
Fan, Lingling, et al.. (2025). Optimization of Traffic Signal Cooperative Control with Sparse Deep Reinforcement Learning Based on Knowledge Sharing. Electronics. 14(1). 156–156. 2 indexed citations
5.
Ji, Honghai, et al.. (2024). A License Plate Recognition Method Based on YOLOv8-Pose and E-LPRNet. 1407–1411. 1 indexed citations
6.
Ren, Ye, et al.. (2024). Data-Driven Containment Control for a Class of Nonlinear Multi-Agent Systems: A Model Free Adaptive Control Approach. Applied Sciences. 14(13). 5527–5527. 1 indexed citations
8.
Ji, Honghai, Xinjing Liu, Li Wang, Lingling Fan, & Shida Liu. (2024). Image Recognition of Chinese Herbal Medicine Using Adaptive Gamma Correction Based on Convolutional Neural Network. 1428–1433.
9.
Liu, Xiaohua, et al.. (2024). Periapical lesion detection in periapical radiographs using the latest convolutional neural network ConvNeXt and its integrated models. Scientific Reports. 14(1). 25429–25429. 7 indexed citations
11.
Ren, Ye, Yongqiang Xie, Li Wang, & Honghai Ji. (2024). Vehicle Formation Control Based on Model-Free Adaptive Iterative Learning. 1450–1455.
12.
Liu, Shida, Guang Lin, Honghai Ji, Shangtai Jin, & Zhongsheng Hou. (2024). A Novel Enhanced Data-Driven Model-Free Adaptive Control Scheme for Path Tracking of Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems. 26(1). 579–590. 7 indexed citations
13.
Ji, Honghai, et al.. (2023). Adaptive Iterative Learning Kalman Consensus Filtering for High-Speed Train Identification and Estimation. IEEE Transactions on Intelligent Transportation Systems. 24(5). 4988–5002. 13 indexed citations
14.
Ji, Honghai, Jie Mei, Li Wang, Shida Liu, & Ye Ren. (2023). Data-Driven Kalman Consensus Filtering for Connected Vehicle Speed Estimation in a Multi-Sensor Network. Symmetry. 15(9). 1699–1699. 3 indexed citations
17.
Ji, Honghai, et al.. (2022). A Novel Genetic Neural Network Algorithm with Link Switches and Its Application in University Professional Course Evaluation. Computational Intelligence and Neuroscience. 2022. 1–12. 1 indexed citations
19.
Liu, Shida, et al.. (2021). Data-driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine. International Journal of Applied Mathematics and Computer Science. 31(2). 1 indexed citations
20.
Zhang, Ruikun, Zhongsheng Hou, Honghai Ji, & Chenkun Yin. (2014). Adaptive iterative learning control for a class of non-linearly parameterised systems with input saturations. International Journal of Systems Science. 47(5). 1084–1094. 23 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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