Luke E. K. Achenie

3.9k total citations · 1 hit paper
83 papers, 2.8k citations indexed

About

Luke E. K. Achenie is a scholar working on Control and Systems Engineering, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Luke E. K. Achenie has authored 83 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 25 papers in Materials Chemistry and 18 papers in Computational Theory and Mathematics. Recurrent topics in Luke E. K. Achenie's work include Process Optimization and Integration (26 papers), Advanced Control Systems Optimization (16 papers) and Computational Drug Discovery Methods (13 papers). Luke E. K. Achenie is often cited by papers focused on Process Optimization and Integration (26 papers), Advanced Control Systems Optimization (16 papers) and Computational Drug Discovery Methods (13 papers). Luke E. K. Achenie collaborates with scholars based in United States, Russia and Denmark. Luke E. K. Achenie's co-authors include Hongliang Xin, Rafiqul Gani, Arunprakash T. Karunanithi, Zheng Li, Zheng Li, Siwen Wang, G.M. Ostrovsky, Rishi Gupta, R. Fletcher and Qi Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Luke E. K. Achenie

81 papers receiving 2.7k citations

Hit Papers

Digital twins for health: a scoping review 2024 2026 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke E. K. Achenie United States 24 1.1k 679 565 430 401 83 2.8k
Yang Su China 32 1.2k 1.1× 815 1.2× 1.1k 1.9× 192 0.4× 435 1.1× 62 3.2k
Vinay Prasad Canada 31 796 0.8× 539 0.8× 335 0.6× 112 0.3× 435 1.1× 136 3.7k
Richard A. Bourne United Kingdom 37 1.4k 1.3× 408 0.6× 336 0.6× 322 0.7× 2.3k 5.8× 127 4.5k
Mario R. Eden United States 26 361 0.3× 965 1.4× 118 0.2× 326 0.8× 686 1.7× 72 2.2k
Kimberley B. McAuley Canada 38 632 0.6× 1.4k 2.1× 220 0.4× 264 0.6× 972 2.4× 193 5.7k
Siying Zhang China 30 356 0.3× 1.2k 1.8× 304 0.5× 251 0.6× 181 0.5× 289 3.3k
Santosh K. Gupta India 33 597 0.6× 1.5k 2.2× 82 0.1× 703 1.6× 876 2.2× 259 4.4k
Luis Ricardez‐Sandoval Canada 41 1.6k 1.5× 1.8k 2.7× 1.3k 2.2× 199 0.5× 1.0k 2.6× 248 5.7k
Liyuan Fan United States 30 917 0.9× 270 0.4× 408 0.7× 35 0.1× 988 2.5× 174 3.2k
Hanyu Gao China 16 907 0.9× 99 0.1× 126 0.2× 446 1.0× 511 1.3× 56 1.7k

Countries citing papers authored by Luke E. K. Achenie

Since Specialization
Citations

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

Fields of papers citing papers by Luke E. K. Achenie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke E. K. Achenie. 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 Luke E. K. Achenie. The network helps show where Luke E. K. Achenie may publish in the future.

Co-authorship network of co-authors of Luke E. K. Achenie

This figure shows the co-authorship network connecting the top 25 collaborators of Luke E. K. Achenie. A scholar is included among the top collaborators of Luke E. K. Achenie 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 Luke E. K. Achenie. Luke E. K. Achenie 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.
Xin, Hongliang, et al.. (2025). Examining generalizability of AI models for catalysis. Journal of Catalysis. 450. 116171–116171. 2 indexed citations
2.
Katsoulakis, Evangelia, Qi Wang, Huanmei Wu, et al.. (2024). Digital twins for health: a scoping review. npj Digital Medicine. 7(1). 77–77. 220 indexed citations breakdown →
4.
Huang, Yang, et al.. (2024). Unraveling Reactivity Origin of Oxygen Reduction at High-Entropy Alloy Electrocatalysts with a Computational and Data-Driven Approach. The Journal of Physical Chemistry C. 128(27). 11183–11189. 12 indexed citations
5.
Pillai, Hemanth Somarajan, Yi Li, Luke E. K. Achenie, et al.. (2023). Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks. Nature Communications. 14(1). 792–792. 94 indexed citations
6.
Achenie, Luke E. K., et al.. (2022). Novel covalent and non-covalent complex-based pharmacophore models of SARS-CoV-2 main protease (Mpro) elucidated by microsecond MD simulations. Scientific Reports. 12(1). 14030–14030. 13 indexed citations
7.
Yang, Quan & Luke E. K. Achenie. (2017). Exploration of gas molecules transport in composite poly (4-methyl-2-pentyne) and carbon nanotubes employing molecular dynamics simulation. Computational Materials Science. 143. 87–94. 5 indexed citations
8.
Li, Zheng, et al.. (2017). High-throughput screening of bimetallic catalysts enabled by machine learning. Journal of Materials Chemistry A. 5(46). 24131–24138. 296 indexed citations
9.
Achenie, Luke E. K., et al.. (2014). Pyrolysis of biomass – fuzzy modeling. Renewable Energy. 66. 747–758. 17 indexed citations
10.
Achenie, Luke E. K., et al.. (2006). Process optimization under uncertainty when there is not enough process data at the operation stage. Optimization and Engineering. 7(3). 249–276. 5 indexed citations
11.
Kalajzić, Ivo, Ada Staal, Wen-Pin Yang, et al.. (2005). Expression Profile of Osteoblast Lineage at Defined Stages of Differentiation. Journal of Biological Chemistry. 280(26). 24618–24626. 141 indexed citations
12.
Achenie, Luke E. K., et al.. (2003). The design of blanket wash solvents with environmental considerations. Advances in Environmental Research. 8(2). 213–227. 9 indexed citations
13.
Guda, Kishore, Sanjeev Garg, Mei Dong, et al.. (2003). Multistage gene expression profiling in a differentially susceptible mouse colon cancer model. Cancer Letters. 191(1). 17–25. 17 indexed citations
14.
Achenie, Luke E. K., Rafiqul Gani, & Venkat Venkatasubramanian. (2002). Computer Aided Chemical Engineering, Volume 12, Computer Aided Molecular Design: Theory and Practice. Elsevier eBooks. 14 indexed citations
15.
Achenie, Luke E. K., et al.. (2002). On the solution of mixed-integer nonlinear programming models for computer aided molecular design. Computers & Chemistry. 26(6). 645–660. 24 indexed citations
16.
Achenie, Luke E. K., et al.. (2002). Flexibility Analysis of Chemical Processes: Selected Global Optimization Sub-Problems. Optimization and Engineering. 3(1). 31–52. 14 indexed citations
17.
Achenie, Luke E. K., et al.. (1999). Environmentally benign solvent design by global optimization. Computers & Chemical Engineering. 23(10). 1381–1394. 55 indexed citations
18.
Achenie, Luke E. K., et al.. (1997). On the Use of a Mixed Integer Non‐linear Programming Model for Refrigerant Design. International Transactions in Operational Research. 4(1). 45–54. 8 indexed citations
19.
Achenie, Luke E. K., et al.. (1997). On the design of environmentally benign refrigerant mixtures: a mathematical programming approach. Computers & Chemical Engineering. 21(8). 915–923. 50 indexed citations
20.
Garrick, Norman, et al.. (1994). IMAGE-PROCESSING METHODS FOR AUTOMATED DISTRESS EVALUATION. Transportation Research Record Journal of the Transportation Research Board. 45–51. 4 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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