Jessen Yu

515 total citations
14 papers, 282 citations indexed

About

Jessen Yu is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Jessen Yu has authored 14 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Control and Systems Engineering. Recurrent topics in Jessen Yu's work include Evolutionary Algorithms and Applications (11 papers), Advanced Control Systems Optimization (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Jessen Yu is often cited by papers focused on Evolutionary Algorithms and Applications (11 papers), Advanced Control Systems Optimization (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Jessen Yu collaborates with scholars based in United States. Jessen Yu's co-authors include Martin A. Keane, William Mydlowec, John R. Koza, Forrest H Bennett, J.R. Koza, W. D. Lakin and Paul L. Penar and has published in prestigious journals such as Molecular Pharmaceutics, Genetic Programming and Evolvable Machines and Mathematical and Computer Modelling of Dynamical Systems.

In The Last Decade

Jessen Yu

14 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessen Yu United States 8 161 125 64 55 26 14 282
William Mydlowec United States 7 145 0.9× 98 0.8× 55 0.9× 24 0.4× 3 0.1× 10 226
Ikuo Yoshihara Japan 8 84 0.5× 46 0.4× 24 0.4× 30 0.5× 5 0.2× 67 221
Tomasz P. Pawlak Poland 10 229 1.4× 94 0.8× 14 0.2× 33 0.6× 12 0.5× 22 287
Daisuke Okanohara Japan 9 237 1.5× 69 0.6× 12 0.2× 17 0.3× 31 1.2× 18 335
Robert Brijder Belgium 9 32 0.2× 138 1.1× 17 0.3× 100 1.8× 8 0.3× 51 261
Masaya Nakata Japan 8 251 1.6× 78 0.6× 7 0.1× 96 1.7× 5 0.2× 50 312
Graham Steel United Kingdom 10 120 0.7× 49 0.4× 9 0.1× 19 0.3× 28 1.1× 40 298
Víctor Suárez-Paniagua Spain 8 174 1.1× 107 0.9× 8 0.1× 20 0.4× 7 0.3× 16 257
C.-Y. Kao Taiwan 7 104 0.6× 137 1.1× 8 0.1× 65 1.2× 5 0.2× 8 284
Kanchan Jha India 7 75 0.5× 161 1.3× 19 0.3× 93 1.7× 12 0.5× 12 290

Countries citing papers authored by Jessen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jessen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessen Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jessen Yu. A scholar is included among the top collaborators of Jessen 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 Jessen Yu. Jessen Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Yu, Jessen, et al.. (2018). Geometric Deep Learning Autonomously Learns Chemical Features That Outperform Those Engineered by Domain Experts. Molecular Pharmaceutics. 15(10). 4371–4377. 40 indexed citations
2.
Koza, J.R., Jessen Yu, Martin A. Keane, & William Mydlowec. (2002). Use of conditional developmental operators and free variables in automatically synthesizing generalized circuits using genetic programming. 1391. 5–15. 3 indexed citations
3.
4.
Koza, John R., et al.. (2001). Automatic synthesis of both the topology and sizing of metabolic pathways using genetic programming. 57–65. 7 indexed citations
5.
Koza, John R., et al.. (2000). REVERSE ENGINEERING OF METABOLIC PATHWAYS FROM OBSERVED DATA USING GENETIC PROGRAMMING. PubMed. 434–445. 73 indexed citations
6.
Koza, John R., Martin A. Keane, Jessen Yu, Forrest H Bennett, & William Mydlowec. (2000). Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming. Genetic Programming and Evolvable Machines. 1(1-2). 121–164. 88 indexed citations
7.
Koza, John R., Jessen Yu, Martin A. Keane, & William Mydlowec. (2000). Automatic synthesis of electrical circuits containing a free variable using genetic programming. 477–484. 5 indexed citations
8.
Keane, Martin A., Jessen Yu, & John R. Koza. (2000). Automatic synthesis of both the topology and tuning of a common parameterized controller for two families of plants using genetic programming. 496–504. 5 indexed citations
9.
Koza, J.R., Martin A. Keane, Jessen Yu, William Mydlowec, & Forrest H Bennett. (2000). Automatic synthesis of both the control law and parameters for a controller for a three-lag plant with five-second delay using genetic programming and simulation techniques. 453–459 vol.1. 8 indexed citations
10.
Bennett, Forrest H, et al.. (1999). Evolution by means of genetic programming of analog circuits that perform digital functions. 1477–1483. 12 indexed citations
11.
Koza, John R., et al.. (1999). Searching for the impossible using genetic programming. 1083–1091. 6 indexed citations
12.
Lakin, W. D., Jessen Yu, & Paul L. Penar. (1999). Analysis and Validation of a Mathematical Model for Intracranial Pressure Dynamics. Mathematical and Computer Modelling of Dynamical Systems. 5(1). 55–73. 4 indexed citations
13.
14.

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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2026