Abhishek Gupta

7.2k total citations · 5 hit papers
103 papers, 4.9k citations indexed

About

Abhishek Gupta is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Abhishek Gupta has authored 103 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 46 papers in Computational Theory and Mathematics and 11 papers in Mechanical Engineering. Recurrent topics in Abhishek Gupta's work include Advanced Multi-Objective Optimization Algorithms (45 papers), Metaheuristic Optimization Algorithms Research (39 papers) and Evolutionary Algorithms and Applications (30 papers). Abhishek Gupta is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (45 papers), Metaheuristic Optimization Algorithms Research (39 papers) and Evolutionary Algorithms and Applications (30 papers). Abhishek Gupta collaborates with scholars based in Singapore, China and India. Abhishek Gupta's co-authors include Yew-Soon Ong, Liang Feng, Kay Chen Tan, Kavitesh Kumar Bali, Puay Siew Tan, Lei Zhou, Jinghui Zhong, A. K. Qin, Bingshui Da and Chi-Keong Goh and has published in prestigious journals such as Scientific Reports, International Journal of Heat and Mass Transfer and Expert Systems with Applications.

In The Last Decade

Abhishek Gupta

97 papers receiving 4.8k citations

Hit Papers

Multifactorial Evolution: Toward Evolutionary Multitasking 2015 2026 2018 2022 2015 2016 2018 2019 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multifactorial Evolution: Toward Evolutionary Multitasking
    2015 662 citations Abhishek Gupta, Yew-Soon Ong et al. IEEE Transactions on Evolutionary Computation profile →
  2. Multiobjective Multifactorial Optimization in Evolutionary Multitasking
    2016 320 citations Abhishek Gupta, Yew-Soon Ong et al. IEEE Transactions on Cybernetics profile →
  3. Evolutionary Multitasking via Explicit Autoencoding
    2018 304 citations Liang Feng, Lei Zhou et al. IEEE Transactions on Cybernetics profile →
  4. Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
    2019 303 citations Yew-Soon Ong, Abhishek Gupta et al. IEEE Transactions on Evolutionary Computation profile →
  5. Insights on Transfer Optimization: Because Experience is the Best Teacher
    2017 270 citations Abhishek Gupta, Yew-Soon Ong et al. IEEE Transactions on Emerging Topics in Computational Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhishek Gupta Singapore 34 3.4k 2.9k 560 327 310 103 4.9k
Efrén Mezura‐Montes Mexico 29 3.9k 1.1× 3.2k 1.1× 394 0.7× 272 0.8× 311 1.0× 180 5.6k
Liang Feng China 37 3.7k 1.1× 3.0k 1.0× 683 1.2× 283 0.9× 403 1.3× 161 6.2k
Jiahai Wang China 31 2.6k 0.7× 1.4k 0.5× 656 1.2× 258 0.8× 404 1.3× 138 4.1k
Aimin Zhou China 29 4.7k 1.4× 4.5k 1.6× 522 0.9× 737 2.3× 407 1.3× 176 6.9k
Shi-Zheng Zhao Singapore 10 2.1k 0.6× 2.1k 0.7× 231 0.4× 307 0.9× 123 0.4× 16 3.1k
Weifeng Gao China 26 2.5k 0.7× 1.5k 0.5× 355 0.6× 164 0.5× 446 1.4× 107 3.5k
Markus Olhofer Germany 25 2.2k 0.7× 2.6k 0.9× 264 0.5× 606 1.9× 131 0.4× 89 4.0k
Jinghui Zhong China 28 1.9k 0.5× 1.2k 0.4× 360 0.6× 117 0.4× 260 0.8× 130 2.9k

Countries citing papers authored by Abhishek Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Gupta. A scholar is included among the top collaborators of Abhishek Gupta 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 Abhishek Gupta. Abhishek Gupta 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.
Liu, Jiao, Abhishek Gupta, & Yew-Soon Ong. (2024). Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. 4(4). 1–27. 1 indexed citations
2.
Gupta, Abhishek & B.K. Mishra. (2024). Neuroevolving monotonic PINNs for particle breakage analysis. 993–996. 2 indexed citations
3.
Liu, Jiao, Abhishek Gupta, Yew-Soon Ong, & Puay Siew Tan. (2024). Inverse Multiobjective Optimization by Generative Model Prompting. 737–740.
4.
Gupta, Abhishek & Barada Kanta Mishra. (2024). Multi-head neural networks for simulating particle breakage dynamics. Theoretical and Applied Mechanics Letters. 14(2). 100515–100515. 3 indexed citations
5.
Gupta, Abhishek, et al.. (2023). Heart Disease Prediction Using Machine Learning. 108–112. 1 indexed citations
6.
Tan, Chin S., Abhishek Gupta, Yew-Soon Ong, et al.. (2023). Pareto optimization with small data by learning across common objective spaces. Scientific Reports. 13(1). 7842–7842. 9 indexed citations
7.
Wong, Jian Cheng, Chin Chun Ooi, Abhishek Gupta, & Yew-Soon Ong. (2022). Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Transactions on Artificial Intelligence. 5(3). 985–1000. 45 indexed citations
8.
Tan, C. S., Abhishek Gupta, & Chi Xu. (2022). Are Two Heads Always Better Than One? Human-AI Complementarity in Multi-criteria Order Planning. 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 939–943. 2 indexed citations
9.
Qu, Xinghua, Yew-Soon Ong, & Abhishek Gupta. (2021). Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Transactions on Cybernetics. 52(8). 7577–7590. 13 indexed citations
10.
Gupta, Abhishek, Dwijendra Nath Dwivedi, Jigar Shah, & Ashish Jain. (2021). Data quality issues leading to sub optimal machine learning for money laundering models. Journal of Money Laundering Control. 25(3). 551–555. 6 indexed citations
11.
Zhou, Lei, Liang Feng, Abhishek Gupta, & Yew-Soon Ong. (2021). Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Transactions on Evolutionary Computation. 25(3). 567–581. 55 indexed citations
12.
Feng, Liang, Yuxiao Huang, Lei Zhou, et al.. (2020). Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Transactions on Cybernetics. 51(6). 3143–3156. 150 indexed citations
13.
Qu, Xinghua, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, & Pengfei Wei. (2020). Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Transactions on Cognitive and Developmental Systems. 13(4). 806–817. 19 indexed citations
14.
Ong, Yew-Soon & Abhishek Gupta. (2019). AIR5: Five Pillars of Artificial Intelligence Research. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(5). 411–415. 41 indexed citations
15.
Feng, Liang, Lei Zhou, Jinghui Zhong, et al.. (2018). Evolutionary Multitasking via Explicit Autoencoding. IEEE Transactions on Cybernetics. 49(9). 3457–3470. 304 indexed citations breakdown →
16.
Elarbi, Maha, Slim Bechikh, Abhishek Gupta, Lamjed Ben Saïd, & Yew-Soon Ong. (2017). A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 48(7). 1191–1210. 221 indexed citations
17.
Gupta, Abhishek, Yew-Soon Ong, & Liang Feng. (2017). Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(1). 51–64. 270 indexed citations breakdown →
18.
Feng, Liang, Yew-Soon Ong, Siwei Jiang, & Abhishek Gupta. (2017). Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Transactions on Evolutionary Computation. 21(5). 760–772. 101 indexed citations
19.
Gupta, Abhishek, et al.. (2016). Alcohol Detection with Vehicle Controlling. International Journal of Engineering and Management Research. 6(2). 20–23. 2 indexed citations
20.
Pradyumna, S. & Abhishek Gupta. (2011). Nonlinear dynamic stability of composite plates with piezoelectric layers subjected to periodic in-plane load. 4(1). 17–28. 6 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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