Feng Ding

1.1k total citations
22 papers, 1.0k citations indexed

About

Feng Ding is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Feng Ding has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Feng Ding's work include Control Systems and Identification (14 papers), Fault Detection and Control Systems (10 papers) and Advanced Control Systems Optimization (7 papers). Feng Ding is often cited by papers focused on Control Systems and Identification (14 papers), Fault Detection and Control Systems (10 papers) and Advanced Control Systems Optimization (7 papers). Feng Ding collaborates with scholars based in China and Hong Kong. Feng Ding's co-authors include Ya Gu, Huamin Zhang, Jie Ding, Yanjiao Wang, Ximei Liu, Huibo Chen, Yan Ji, Lin Cong, Xinggao Liu and Hao Ma and has published in prestigious journals such as Information Sciences, Journal of the Franklin Institute and Signal Processing.

In The Last Decade

Feng Ding

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Ding China 15 824 203 177 142 118 22 1.0k
Yanjun Liu China 16 1.1k 1.4× 254 1.3× 302 1.7× 245 1.7× 174 1.5× 47 1.4k
Roland Hildebrand France 17 491 0.6× 126 0.6× 80 0.5× 81 0.6× 187 1.6× 61 879
Songsong Cheng China 15 603 0.7× 147 0.7× 32 0.2× 113 0.8× 36 0.3× 53 822
Yihong Zhou China 12 810 1.0× 235 1.2× 235 1.3× 168 1.2× 33 0.3× 22 953
Wei‐Yong Yan Australia 17 541 0.7× 87 0.4× 62 0.4× 230 1.6× 125 1.1× 55 1.0k
Guoxiang Gu United States 17 793 1.0× 88 0.4× 59 0.3× 87 0.6× 114 1.0× 86 1.1k
P.M. Mäkilä Finland 24 1.8k 2.1× 159 0.8× 242 1.4× 190 1.3× 169 1.4× 101 2.1k
Anders Hansson Sweden 14 555 0.7× 41 0.2× 50 0.3× 99 0.7× 115 1.0× 75 756
George N. Korres Greece 33 2.0k 2.4× 165 0.8× 95 0.5× 43 0.3× 40 0.3× 115 3.1k
K.A. Clements United States 25 1.2k 1.5× 144 0.7× 139 0.8× 44 0.3× 38 0.3× 64 2.3k

Countries citing papers authored by Feng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ding. A scholar is included among the top collaborators of Feng Ding 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 Feng Ding. Feng Ding 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.
Zhao, Shunyi, et al.. (2024). Parameter Transfer Identification for Nonidentical Dynamic Systems Using Variational Inference. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 712–720.
2.
Yu, J., Tengfei Liu, Ye Li, Feng Ding, & Sheng Wu. (2024). On the Decoding Cost of Streaming Forward Erasure Correction Codes. IEEE Communications Letters. 28(8). 1760–1764. 1 indexed citations
3.
Ding, Feng, Sihan Liu, Haibin Qu, et al.. (2023). A novel process for developing a quantitative chromatographic fingerprint analysis method based on analytical quality by design: A case study of Xiaochaihu capsules. Microchemical Journal. 194. 109253–109253. 10 indexed citations
4.
5.
Pan, Jian, Hao Ma, Xiao Wei Jiang, Wenfang Ding, & Feng Ding. (2018). Adaptive Gradient‐Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique. Complexity. 2018(1). 59 indexed citations
6.
Zhao, Jumin, et al.. (2017). Time-Efficient Cloning Attacks Identification in Large-Scale RFID Systems. Security and Communication Networks. 2017. 1–9. 4 indexed citations
7.
Ding, Feng, Yanjiao Wang, & Jie Ding. (2014). Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model. Digital Signal Processing. 37. 100–108. 145 indexed citations
8.
Ding, Feng & Huamin Zhang. (2014). Gradient‐based iterative algorithm for a class of the coupled matrix equations related to control systems. IET Control Theory and Applications. 8(15). 1588–1595. 121 indexed citations
9.
Ding, Feng. (2014). State filtering and parameter estimation for state space systems with scarce measurements. Signal Processing. 104. 369–380. 114 indexed citations
10.
Ji, Yan, Ximei Liu, & Feng Ding. (2014). New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems. Nonlinear Dynamics. 79(1). 1–9. 54 indexed citations
11.
Ding, Feng, et al.. (2013). Two‐stage parameter estimation algorithms for Box–Jenkins systems. IET Signal Processing. 7(8). 646–654. 53 indexed citations
12.
Ding, Feng, et al.. (2013). Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems. Signal Processing. 97. 31–39. 109 indexed citations
13.
Gu, Ya & Feng Ding. (2013). Parameter estimation for a multivariable state space system with d-step state-delay. Journal of the Franklin Institute. 350(4). 724–736. 18 indexed citations
14.
Ding, Feng, Junxia Ma, & Yongsong Xiao. (2013). Newton iterative identification for a class of output nonlinear systems with moving average noises. Nonlinear Dynamics. 74(1-2). 21–30. 37 indexed citations
15.
Ding, Feng. (2013). Computation of matrix exponentials of special matrices. Applied Mathematics and Computation. 223. 311–326. 13 indexed citations
16.
Gu, Ya & Feng Ding. (2012). Auxiliary model based least squares identification method for a state space model with a unit time-delay. Applied Mathematical Modelling. 36(12). 5773–5779. 30 indexed citations
17.
Ding, Feng & Ya Gu. (2012). Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay. Circuits Systems and Signal Processing. 32(2). 585–599. 62 indexed citations
18.
Ding, Feng & Ya Gu. (2012). Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems. International Journal of Computer Mathematics. 89(15). 2019–2028. 53 indexed citations
19.
Liu, Xinggao, et al.. (2011). High-purity control of internal thermally coupled distillation columns based on nonlinear wave model. Journal of Process Control. 21(6). 920–926. 41 indexed citations
20.
Ding, Feng. (2006). Knowledge reduction approach based on information entropy and GA. Control theory & applications. 1 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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