Ning Jin

3.5k total citations · 1 hit paper
97 papers, 2.4k citations indexed

About

Ning Jin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ning Jin has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 27 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Ning Jin's work include Adaptive Dynamic Programming Control (10 papers), Energy Load and Power Forecasting (9 papers) and Advanced Wireless Communication Techniques (8 papers). Ning Jin is often cited by papers focused on Adaptive Dynamic Programming Control (10 papers), Energy Load and Power Forecasting (9 papers) and Advanced Wireless Communication Techniques (8 papers). Ning Jin collaborates with scholars based in China, United States and Singapore. Ning Jin's co-authors include Derong Liu, Qinglai Wei, Ke Yan, Ding Wang, Dongbin Zhao, Fei‐Yue Wang, Yang Du, Olga Russakovsky, Li Fei-Fei and Greg Mori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Automatica.

In The Last Decade

Ning Jin

86 papers receiving 2.4k citations

Hit Papers

Optimal control of unknown nonaffine nonlinear discrete-t... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Jin China 20 830 761 671 625 364 97 2.4k
Gerhard Venter South Africa 19 446 0.5× 804 1.1× 826 1.2× 442 0.7× 207 0.6× 68 3.1k
Afshin Faramarzi United States 8 831 1.0× 1.9k 2.5× 952 1.4× 604 1.0× 440 1.2× 9 3.6k
M. Fesanghary United States 16 825 1.0× 1.1k 1.4× 807 1.2× 546 0.9× 210 0.6× 22 3.3k
Asanga Ratnaweera Sri Lanka 7 573 0.7× 1.4k 1.8× 599 0.9× 740 1.2× 228 0.6× 17 2.6k
Pınar Çivicioğlu Türkiye 18 574 0.7× 1.1k 1.5× 573 0.9× 397 0.6× 423 1.2× 31 2.5k
Ding Liu China 29 716 0.9× 721 0.9× 185 0.3× 359 0.6× 995 2.7× 252 3.5k
Dongshu Wang China 4 500 0.6× 566 0.7× 179 0.3× 373 0.6× 225 0.6× 7 2.1k
Dongsheng Yang China 32 1.2k 1.4× 429 0.6× 247 0.4× 1.3k 2.1× 159 0.4× 245 3.4k
Ardashir Mohammadzadeh Iran 38 1.0k 1.3× 1.4k 1.9× 195 0.3× 1.6k 2.6× 279 0.8× 198 4.0k
Yufei Tang United States 28 1.9k 2.3× 623 0.8× 350 0.5× 1.9k 3.1× 140 0.4× 142 3.6k

Countries citing papers authored by Ning Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ning Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Jin. A scholar is included among the top collaborators of Ning Jin 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 Ning Jin. Ning Jin 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.
Sinha, Usha, David R. Maldonado, Vadim Malis, et al.. (2025). Strain mapping using compressed sensing accelerated 4D flow MRI—Potential for detecting coactivation in thigh muscles. Frontiers in Physiology. 16. 1583024–1583024.
2.
Jin, Ning, Jingjing Luo, Zhongqi Ren, et al.. (2024). In-Situ formed Quasi-Homogeneous iontronic sensors with Ultrawide sensing range for Human-Machine interaction. Chemical Engineering Journal. 505. 159139–159139. 3 indexed citations
3.
Jin, Ning, et al.. (2024). Research on Machine Learning-Based Method for Predicting Industrial Park Electric Vehicle Charging Load. Sustainability. 16(17). 7258–7258. 2 indexed citations
4.
Jin, Ning, et al.. (2023). Probabilistic Forecasting of Residential Energy Consumption Based on SWT-QRTCN-ADSC-NLSTM Model. Information. 14(4). 231–231. 3 indexed citations
5.
Shi, Ruifeng, et al.. (2023). Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output. Sustainability. 15(4). 3166–3166. 9 indexed citations
6.
Yang, Fan, Ke Yan, Ning Jin, & Yang Du. (2023). Multiple households energy consumption forecasting using consistent modeling with privacy preservation. Advanced Engineering Informatics. 55. 101846–101846. 17 indexed citations
7.
Li, Yan, et al.. (2022). Analysis of a Novel Resistive Film Absorber for Suppression of Electromagnetic Radiation in System-in-Packages. International Journal of Antennas and Propagation. 2022. 1–15. 2 indexed citations
8.
Li, Da, Hanzhi Ma, Yan Li, et al.. (2022). Analysis of Higher-Order Mode Effects in the Resistively Loaded Monocone TEM Cell. IEEE Transactions on Electromagnetic Compatibility. 64(6). 1906–1914.
9.
Jin, Ning, et al.. (2020). Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification. IEEE Access. 8. 77060–77072. 90 indexed citations
10.
Yu, Haoran, Ning Jin, Zhenguo Wang, et al.. (2020). Use of solution-processed zinc oxide to prevent the breakdown in silver nanowire networks. Nanotechnology. 31(18). 18LT01–18LT01. 11 indexed citations
11.
Jin, Ning, Dmitri L. Danilov, Paul M.J. Van den Hof, & M.C.F. Donkers. (2018). Parameter estimation of an electrochemistry-based lithium-ion battery model using a two-step procedure and a parameter sensitivity analysis. International Journal of Energy Research. 42(7). 2417–2430. 82 indexed citations
12.
Jin, Xiaoping, et al.. (2018). Simple and Low Complexity GD-HL Detector for OFDM-IM. 278–282. 1 indexed citations
13.
Liu, Tong, Tao Gu, Ning Jin, & Yanmin Zhu. (2017). A Mixed Transmission Strategy to Achieve Energy Balancing in Wireless Sensor Networks. IEEE Transactions on Wireless Communications. 16(4). 2111–2122. 18 indexed citations
14.
Jin, Ning. (2015). Transformation and fragmentation of tropical rainforest landscape in Brazil. Geographical Research. 5 indexed citations
15.
Jin, Ning. (2012). A novel power allocation algorithm in multiuser OFDM systems. 1 indexed citations
16.
Jin, Ning. (2008). Training method of multi-layered neural network based on conjugate gradient algorithm. Information technology newsletter. 1 indexed citations
17.
Jin, Ning, et al.. (2007). CLAY MINERALS IN SURFACE SEDIMENT OF THE NORTHWEST PARECE VELA BASIN: DISTRIBUTION AND PROVENANCE. 38(6). 504–511. 9 indexed citations
18.
Jin, Ning. (2007). OFDM Carrier Synchronization Algorithm Based on Costas Loop. Jisuanji fangzhen. 1 indexed citations
19.
Jin, Ning. (1995). Invariant filtrations of Lie algebras of Cartan type over commutative rings. 科学通报(英文版). 1 indexed citations
20.
Jin, Ning. (1992). ad-NILPOTENT ELEMENTS, QUASI-NILPOTENT ELEMENTS AND INVARIANT FILTRATIONS OF INFINITE DIMENSIONAL LIE ALGEBRAS OF CARTAN TYPE. Science China Chemistry. 35(10). 1191–1200. 12 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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