Ying Bi

2.4k total citations
106 papers, 1.4k citations indexed

About

Ying Bi is a scholar working on Artificial Intelligence, Molecular Biology and Plant Science. According to data from OpenAlex, Ying Bi has authored 106 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 18 papers in Molecular Biology and 17 papers in Plant Science. Recurrent topics in Ying Bi's work include Evolutionary Algorithms and Applications (44 papers), Metaheuristic Optimization Algorithms Research (42 papers) and Smart Agriculture and AI (13 papers). Ying Bi is often cited by papers focused on Evolutionary Algorithms and Applications (44 papers), Metaheuristic Optimization Algorithms Research (42 papers) and Smart Agriculture and AI (13 papers). Ying Bi collaborates with scholars based in China, New Zealand and Japan. Ying Bi's co-authors include Bing Xue, Mengjie Zhang, Bo Peng, Shuting Wan, Harith Al-Sahaf, Yanan Sun, Qi Chen, Yi Mei, Binh Tran and Andrew Lensen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Ying Bi

88 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Bi China 22 534 207 173 162 123 106 1.4k
Félix-Antoine Fortin Canada 6 469 0.9× 120 0.6× 112 0.6× 104 0.6× 60 0.5× 8 1.4k
François-Michel De Rainville Canada 7 417 0.8× 115 0.6× 116 0.7× 105 0.6× 60 0.5× 9 1.3k
Marc-André Gardner Canada 8 429 0.8× 134 0.6× 282 1.6× 126 0.8× 23 0.2× 10 1.7k
Feng Han China 19 295 0.6× 110 0.5× 278 1.6× 93 0.6× 87 0.7× 135 1.9k
Sijia Liu United States 23 756 1.4× 155 0.7× 262 1.5× 173 1.1× 134 1.1× 171 1.9k
Henry Han United States 17 375 0.7× 332 1.6× 106 0.6× 49 0.3× 53 0.4× 69 1.2k
Zhou Fang China 20 186 0.3× 278 1.3× 196 1.1× 234 1.4× 249 2.0× 174 1.5k
Marco S. Nobile Italy 18 521 1.0× 401 1.9× 134 0.8× 81 0.5× 34 0.3× 96 1.3k
Amr Badr Egypt 14 365 0.7× 132 0.6× 135 0.8× 44 0.3× 131 1.1× 70 1.0k
Antonio Mucherino France 17 383 0.7× 133 0.6× 146 0.8× 72 0.4× 96 0.8× 55 1.1k

Countries citing papers authored by Ying Bi

Since Specialization
Citations

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

Fields of papers citing papers by Ying Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Bi. A scholar is included among the top collaborators of Ying Bi 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 Ying Bi. Ying Bi 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.
Yue, Caitong, et al.. (2025). A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance. Knowledge-Based Systems. 315. 113340–113340. 1 indexed citations
2.
Bi, Ying, et al.. (2025). Multi-objective genetic programming based on decomposition for feature learning in image classification. Swarm and Evolutionary Computation. 94. 101875–101875. 1 indexed citations
3.
Bi, Ying, Chao Kong, Changyin Zhu, et al.. (2025). From “white carbon” to “black carbon”: Upcycling discarded plastic bottles into shining porous chars for the removal of sulfamethoxazole from water. Separation and Purification Technology. 361. 131438–131438. 4 indexed citations
4.
Zhao, Wenshan, Han Cheng, Ying Bi, et al.. (2024). Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer. Applied Soft Computing. 159. 111658–111658.
5.
6.
Yang, Shangshang, Haiping Ma, Ying Bi, et al.. (2024). An Evolutionary Multiobjective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education. IEEE Transactions on Evolutionary Computation. 29(6). 2431–2445. 5 indexed citations
7.
Liang, Jing, et al.. (2024). A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 4 indexed citations
8.
Liang, Jing, Ying Bi, Han Cheng, et al.. (2024). A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease. IEEE Transactions on Evolutionary Computation. 29(4). 1400–1418. 1 indexed citations
9.
Wu, Chengke, Qinge Xiao, Yuanjun Guo, et al.. (2024). CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies. IEEE Transactions on Artificial Intelligence. 6(5). 1156–1170. 1 indexed citations
10.
Liu, Shuai, et al.. (2023). Not just select samples, but exploration : Genetic programming aided remote sensing target detection under deep learning. Applied Soft Computing. 145. 110570–110570. 13 indexed citations
11.
Al-Sahaf, Harith, Pablo Mesejo, Ying Bi, & Mengjie Zhang. (2023). Evolutionary deep learning for computer vision and image processing. Applied Soft Computing. 151. 111159–111159. 6 indexed citations
12.
Bi, Ying, et al.. (2023). Edge-based feature extraction module for 3D point cloud shape classification. Computers & Graphics. 112. 31–39. 7 indexed citations
13.
Bi, Ying, et al.. (2023). A genetic programming-based method for image classification with small training data. Knowledge-Based Systems. 283. 111188–111188. 6 indexed citations
14.
Liu, Ivy, Ying Bi, Ross Vennell, et al.. (2023). A new multi‐object tracking pipeline based on computer vision techniques for mussel farms. Journal of the Royal Society of New Zealand. 55(1). 62–81. 8 indexed citations
15.
Qian, Jiaming, et al.. (2023). Structured illumination microscopy based on principal component analysis. 3(1). 88 indexed citations
16.
Bi, Ying, Bing Xue, Dana K. Briscoe, Ross Vennell, & Mengjie Zhang. (2022). A new artificial intelligent approach to buoy detection for mussel farming. Journal of the Royal Society of New Zealand. 53(1). 27–51. 7 indexed citations
17.
Qian, Jiaming, et al.. (2022). Robust frame-reduced structured illumination microscopy with accelerated correlation-enabled parameter estimation. Applied Physics Letters. 121(15). 10 indexed citations
18.
Al-Sahaf, Harith, Ying Bi, Qi Chen, et al.. (2019). A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand. 49(2). 205–228. 155 indexed citations
19.
Bi, Ying. (2014). The Heterogeneity of Rural Households Incomeand Its Geographical Factors in Upper Reach of Minjiang River. 1 indexed citations
20.
Bi, Ying. (2009). Substituting Antidumping Law with Competition Law : The better option in avoiding Protectionist Abuse. Kyushu University Institutional Repository (QIR) (Kyushu University). 76(3). 1–52. 2 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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