Helong Yu

1.0k total citations
39 papers, 755 citations indexed

About

Helong Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Helong Yu has authored 39 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 9 papers in Plant Science. Recurrent topics in Helong Yu's work include Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Smart Agriculture and AI (8 papers). Helong Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Smart Agriculture and AI (8 papers). Helong Yu collaborates with scholars based in China, Iran and Saudi Arabia. Helong Yu's co-authors include Huiling Chen, Chengcheng Chen, Ali Asghar Heidari, Mingjing Wang, Majdi Mafarja, Nannan Zhao, Pengjun Wang, Chengye Li, Xianchang Wang and Wenshu Li and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and Computers and Electronics in Agriculture.

In The Last Decade

Helong Yu

36 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helong Yu China 16 370 147 138 106 71 39 755
Weizheng Zhang China 14 263 0.7× 177 1.2× 44 0.3× 66 0.6× 75 1.1× 44 836
Jorge Gálvez Mexico 17 474 1.3× 156 1.1× 60 0.4× 374 3.5× 40 0.6× 46 992
Shubham Mahajan India 17 242 0.7× 73 0.5× 73 0.5× 128 1.2× 64 0.9× 88 851
Rania M. Ghoniem Saudi Arabia 17 426 1.2× 111 0.8× 32 0.2× 120 1.1× 51 0.7× 46 859
Sujuan Hou China 14 242 0.7× 29 0.2× 68 0.5× 278 2.6× 75 1.1× 37 887
Ru Nie China 11 484 1.3× 132 0.9× 33 0.2× 142 1.3× 49 0.7× 27 1.2k
Aybars Uğur Türkiye 14 247 0.7× 55 0.4× 51 0.4× 120 1.1× 22 0.3× 49 666
Swarnajit Ray India 16 388 1.0× 78 0.5× 49 0.4× 380 3.6× 35 0.5× 27 752
Himanshu Mittal India 19 395 1.1× 43 0.3× 276 2.0× 428 4.0× 40 0.6× 47 1.1k

Countries citing papers authored by Helong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Helong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Helong Yu. A scholar is included among the top collaborators of Helong Yu 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 Helong Yu. Helong Yu 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.
Qin, Ruijun, et al.. (2025). Advancing precision agriculture with deep learning enhanced SIS-YOLOv8 for Solanaceae crop monitoring. Frontiers in Plant Science. 15. 1485903–1485903. 2 indexed citations
2.
Wang, Jiali, et al.. (2025). A lightweight context-aware framework for toxic mushroom detection in complex ecological environments. Ecological Informatics. 90. 103256–103256.
3.
Zhang, Lina, et al.. (2025). YOLOv8 forestry pest recognition based on improved re-parametric convolution. Frontiers in Plant Science. 16. 1552853–1552853. 3 indexed citations
4.
Yu, Helong, et al.. (2024). An enhanced Moth-Flame optimizer with quality enhancement and directional crossover: optimizing classic engineering problems. Artificial Intelligence Review. 57(11). 1 indexed citations
5.
Yu, Helong, et al.. (2024). Slime mould algorithm with horizontal crossover and adaptive evolutionary strategy: performance design for engineering problems. Journal of Computational Design and Engineering. 11(4). 83–108. 1 indexed citations
6.
Ma, Zhenyu, et al.. (2024). Pest-PVT: A model for multi-class and dense pest detection and counting in field-scale environments. Computers and Electronics in Agriculture. 230. 109864–109864. 10 indexed citations
7.
Guo, Hongliang, Mingyang Li, Helong Yu, et al.. (2023). Exploring a novel HE image segmentation technique for glioblastoma: A hybrid slime mould and differential evolution approach. Computers in Biology and Medicine. 168. 107653–107653. 2 indexed citations
8.
Guo, Hongliang, et al.. (2023). Multi-threshold Image Segmentation based on an improved Salp Swarm Algorithm: Case study of breast cancer pathology images. Computers in Biology and Medicine. 168. 107769–107769. 22 indexed citations
9.
Hu, Jiao, et al.. (2023). A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection. Computers in Biology and Medicine. 166. 107538–107538. 16 indexed citations
10.
Yu, Helong, et al.. (2023). An accelerated sine mapping whale optimizer for feature selection. iScience. 26(10). 107896–107896. 6 indexed citations
11.
Yu, Helong, et al.. (2023). Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems. Journal of Computational Design and Engineering. 10(4). 1868–1891. 6 indexed citations
12.
Li, Zhuoshi, et al.. (2022). [Heart rate extraction algorithm based on adaptive heart rate search model].. PubMed. 39(3). 516–526. 1 indexed citations
13.
Yu, Helong, Yuan Kang, Wenshu Li, et al.. (2021). Improved Butterfly Optimizer‐Configured Extreme Learning Machine for Fault Diagnosis. Complexity. 2021(1). 38 indexed citations
14.
Chen, Chengcheng, Xianchang Wang, Ali Asghar Heidari, Helong Yu, & Huiling Chen. (2021). Multi-Threshold Image Segmentation of Maize Diseases Based on Elite Comprehensive Particle Swarm Optimization and Otsu. Frontiers in Plant Science. 12. 789911–789911. 31 indexed citations
15.
Wang, Gai‐Ge, et al.. (2021). Sorting-Based Discrete Artificial Bee Colony Algorithm for Solving Fuzzy Hybrid Flow Shop Green Scheduling Problem. Mathematics. 9(18). 2250–2250. 24 indexed citations
16.
Chen, Chengcheng, Xianchang Wang, Helong Yu, et al.. (2020). An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme. Complexity. 2020. 1–24. 17 indexed citations
17.
Yu, Helong, Nannan Zhao, Pengjun Wang, Huiling Chen, & Chengye Li. (2019). Chaos-enhanced synchronized bat optimizer. Applied Mathematical Modelling. 77. 1201–1215. 96 indexed citations
18.
Yu, Helong, et al.. (2019). Local means denoising of ECG signal. Biomedical Signal Processing and Control. 53. 101571–101571. 17 indexed citations
19.
Yu, Helong. (2013). Anti Strong Interference of Vegetation Map Health Analysis Algorithm Simulation. Jisuanji fangzhen.
20.
Yu, Helong, et al.. (2010). Crop precision fertilization model based on improved bp neural network ensemble.. Nongye gongcheng xuebao. 26(12). 193–198. 3 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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