Haina Rong

1.5k total citations
50 papers, 971 citations indexed

About

Haina Rong is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Haina Rong has authored 50 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 12 papers in Mechanical Engineering. Recurrent topics in Haina Rong's work include DNA and Biological Computing (31 papers), Advanced biosensing and bioanalysis techniques (17 papers) and Modular Robots and Swarm Intelligence (12 papers). Haina Rong is often cited by papers focused on DNA and Biological Computing (31 papers), Advanced biosensing and bioanalysis techniques (17 papers) and Modular Robots and Swarm Intelligence (12 papers). Haina Rong collaborates with scholars based in China, United Kingdom and Spain. Haina Rong's co-authors include Gexiang Zhang, Ferrante Neri, Mario J. Pérez-Jímenez, Prithwineel Paul, Jianping Dong, Ming Zhu, Qiang Yang, Xihai Zhang, Yangyang He and Chunxiu Liu and has published in prestigious journals such as Information Sciences, Ecological Modelling and Knowledge-Based Systems.

In The Last Decade

Haina Rong

48 papers receiving 929 citations

Peers

Haina Rong

EEE

CTM

Luis Valencia–Cabrera Spain

Agustín Riscos–Núñez Spain

Xiaohui Luo China

Jason Lohn United States

J.R. Koza United States

Zhao Yin China

Carlos Martı́n-Vide Spain

Anna Gorbenko Russia

Martin L. Demaine United States

Xiaodong Ren China

Luis Valencia–Cabrera Spain

Haina Rong

811 ×1.2

426 ×1.5

188 ×0.7

EEE

260 ×1.3

CTM

167 ×0.9

Citations per year, relative to Haina Rong Haina Rong (= 1×) peers Luis Valencia–Cabrera

Countries citing papers authored by Haina Rong

Since Specialization

Citations

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

Fields of papers citing papers by Haina Rong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haina Rong

This figure shows the co-authorship network connecting the top 25 collaborators of Haina Rong. A scholar is included among the top collaborators of Haina Rong 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 Haina Rong. Haina Rong 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

Dong, Jianping, et al.. (2024). A learning numerical spiking neural P system for classification problems. Knowledge-Based Systems. 296. 111914–111914. 8 indexed citations

Liu, Xingyang, Haina Rong, Ferrante Neri, et al.. (2024). Human-Simulated Intelligent Walking Control for Biped Robots. IEEE Transactions on Automation Science and Engineering. 22. 3237–3251.

Dong, Jianping, et al.. (2024). An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation. International Journal of Neural Systems. 34(8). 2450036–2450036. 12 indexed citations

Bi, Tianshu, et al.. (2024). Spiking Neural Network based on YOLO-C3 for Object Detection. 608–612. 1 indexed citations

Duan, Yingying, Haina Rong, Gexiang Zhang, et al.. (2023). A review of computing models for studying population dynamics of giant panda ecosystems. Ecological Modelling. 487. 110543–110543. 3 indexed citations

Dong, Jianping, Gexiang Zhang, Biao Luo, & Haina Rong. (2023). An optimization numerical spiking neural P system for solving constrained optimization problems. Information Sciences. 626. 428–456. 20 indexed citations

Rong, Haina, Yingying Duan, & Gexiang Zhang. (2022). A bibliometric analysis of membrane computing (1998–2019). 4(2). 177–207. 18 indexed citations

Rong, Haina, et al.. (2021). A Novel Spiking Neural P System for Image Recognition.. International journal of unconventional computing. 16. 121–139. 7 indexed citations

Zhang, Gexiang, et al.. (2021). Implementation of Kernel P Systems in CUDA for Solving NP-hard Problems.. International journal of unconventional computing. 16. 259–278. 1 indexed citations

10.

Chen, Yunhui, Ying Chen, Gexiang Zhang, et al.. (2021). A Survey of Learning Spiking Neural P Systems and A Novel Instance.. International journal of unconventional computing. 16. 173–200. 10 indexed citations

11.

Dong, Jianping, et al.. (2021). Automatic Design of Spiking Neural P Systems Based on Genetic Algorithms. International journal of unconventional computing. 16. 201–216. 14 indexed citations

12.

Zhou, Kang, Gexiang Zhang, Prithwineel Paul, et al.. (2020). Application of Weighted Spiking Neural P Systems with Rules on Synapses for Breaking RSA Encryption.. International journal of unconventional computing. 15. 37–58. 6 indexed citations

13.

Duan, Yingying, et al.. (2020). A Membrane-Inspired Algorithm with Exchange-Tree Mechanism for Traffic Network Transportation Optimization Problem.. International journal of unconventional computing. 15. 5–36. 2 indexed citations

14.

Duan, Yingying, Haina Rong, Dunwu Qi, et al.. (2020). A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System. Complexity. 2020. 1–26. 9 indexed citations

15.

Zhu, Ming, Gexiang Zhang, Qiang Yang, et al.. (2018). P Systems-Based Computing Polynomials With Integer Coefficients: Design and Formal Verification. IEEE Transactions on NanoBioscience. 17(3). 272–280. 3 indexed citations

16.

Zhang, Gexiang, Haina Rong, Jixiang Cheng, & Yanhui Qin. (2014). A Population-Membrane-System-Inspired Evolutionary Algorithm for Distribution Network Reconfiguration. Chinese Journal of Electronics. 23(3). 437–441. 5 indexed citations

17.

Zhang, Gexiang, Haina Rong, Ferrante Neri, & Mario J. Pérez-Jímenez. (2014). AN OPTIMIZATION SPIKING NEURAL P SYSTEM FOR APPROXIMATELY SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS. International Journal of Neural Systems. 24(5). 1440006–1440006. 252 indexed citations

18.

Zhang, Gexiang, Chunxiu Liu, & Haina Rong. (2010). Analyzing radar emitter signals with membrane algorithms. Mathematical and Computer Modelling. 52(11-12). 1997–2010. 35 indexed citations

19.

Zhang, Hua, Gexiang Zhang, Haina Rong, & Jixiang Cheng. (2010). Comparisons of quantum rotation gates in quantum-inspired evolutionary algorithms. 2010 Sixth International Conference on Natural Computation. 2306–2310. 9 indexed citations

20.

Zhang, Gexiang, Haina Rong, Marian Gheorghe, et al.. (2010). A particle swarm optimization based on P systems. 2010 Sixth International Conference on Natural Computation. 3003–3007. 15 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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