Jin Xie

2.2k total citations
23 papers, 271 citations indexed

About

Jin Xie is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jin Xie has authored 23 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Jin Xie's work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (4 papers). Jin Xie is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (4 papers). Jin Xie collaborates with scholars based in China, United States and Australia. Jin Xie's co-authors include Sabatino Ventura, Carl W. White, Weifeng Gao, Colin W. Pouton, Hong Li, Ben Capuano, Aaron DeBono, Peter J. Scammells, Richard A. Mathies and Lorenzo Berti and has published in prestigious journals such as Nature Communications, Analytical Biochemistry and Expert Systems with Applications.

In The Last Decade

Jin Xie

22 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Xie China 10 83 52 37 26 24 23 271
Sara Razi Iran 6 153 1.8× 21 0.4× 11 0.3× 35 1.3× 23 1.0× 10 313
Jianxing Hu China 10 168 2.0× 47 0.9× 24 0.6× 118 4.5× 4 0.2× 27 329
Sezen Vatansever United States 7 244 2.9× 16 0.3× 22 0.6× 118 4.5× 24 1.0× 11 449
Mingliang Chen China 12 111 1.3× 9 0.2× 30 0.8× 6 0.2× 8 0.3× 49 444
Simon Li United Kingdom 9 207 2.5× 5 0.1× 54 1.5× 10 0.4× 28 1.2× 15 441
Pingqing He China 8 157 1.9× 50 1.0× 9 0.2× 4 0.2× 9 0.4× 8 367
Reiji Teramoto Japan 10 327 3.9× 23 0.4× 19 0.5× 128 4.9× 9 0.4× 21 470
Yujie You China 8 142 1.7× 17 0.3× 44 1.2× 84 3.2× 3 0.1× 12 389
Aarti Singh United Kingdom 8 225 2.7× 19 0.4× 9 0.2× 13 0.5× 13 0.5× 12 341

Countries citing papers authored by Jin Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jin Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Xie. A scholar is included among the top collaborators of Jin Xie 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 Jin Xie. Jin Xie 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.
Ren, Yuhao, et al.. (2025). Accelerating discovery of bioactive ligands with pharmacophore-informed generative models. Nature Communications. 16(1). 2391–2391. 7 indexed citations
2.
Xie, Jin, Cai Yin-ying, & Lynn Huntsinger. (2025). Fragmented expansion induces rural housing wealth differences in urban fringes: Evidence from fine-grained housing data in Shanghai, China. Habitat International. 163. 103492–103492.
3.
Li, Hong, et al.. (2024). Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks. Expert Systems with Applications. 246. 123186–123186. 9 indexed citations
4.
Li, Hong, et al.. (2024). Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search. Applied Soft Computing. 169. 112574–112574. 5 indexed citations
5.
Li, Hong, et al.. (2023). A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification. Information Sciences. 626. 457–473. 17 indexed citations
6.
Xie, Jin, et al.. (2023). Process decomposition of expanded rural housing at the rural–urban fringe: evidence from 27,034 buildings in Pudong New Area, Shanghai, China. China Agricultural Economic Review. 15(3). 457–480. 2 indexed citations
7.
Gao, Weifeng, et al.. (2022). A new two-stage based evolutionary algorithm for solving multi-objective optimization problems. Information Sciences. 611. 649–659. 14 indexed citations
8.
Li, Hong, et al.. (2022). A cooperative genetic algorithm based on extreme learning machine for data classification. Soft Computing. 26(17). 8585–8601. 7 indexed citations
9.
Xie, Jin, Yaoyao Wu, Jiaojiao Wang, et al.. (2021). Identification of 11 candidate structured noncoding RNA motifs in humans by comparative genomics. BMC Genomics. 22(1). 1 indexed citations
10.
Yin-ying, Cai, Jin Xie, & Chuanhao Tian. (2020). Housing wealth change and disparity of indigenous villagers during urban village redevelopment: A comparative analysis of two resettled residential neighborhoods in Wuhan. Habitat International. 99. 102162–102162. 16 indexed citations
11.
Jiang, Mengmeng, Haide Chen, Shujing Lai, et al.. (2018). Maintenance of human haematopoietic stem and progenitor cells in vitro using a chemical cocktail. Cell Discovery. 4(1). 59–59. 12 indexed citations
12.
Jiang, He‐wei, Daniel M. Czajkowsky, Tao Wang, et al.. (2018). Identification of Serine 119 as an Effective Inhibitor Binding Site of M. tuberculosis Ubiquitin-like Protein Ligase PafA Using Purified Proteins and M. smegmatis. EBioMedicine. 30. 225–236. 8 indexed citations
13.
Hu, Xueping, et al.. (2017). Exploration of the binding affinities between ecdysone agonists and EcR/USP by docking and MM-PB/GBSA approaches. Journal of Molecular Modeling. 23(5). 166–166. 10 indexed citations
14.
Deng, Xile, Jin Xie, Yongqiang Li, et al.. (2016). Design, synthesis and biological activity of novel substituted pyrazole amide derivatives targeting EcR/USP receptor. Chinese Chemical Letters. 27(4). 566–570. 22 indexed citations
15.
White, Carl W., Jin Xie, & Sabatino Ventura. (2013). Age-related changes in the innervation of the prostate gland. Organogenesis. 9(3). 206–215. 43 indexed citations
16.
DeBono, Aaron, Jin Xie, Sabatino Ventura, et al.. (2012). Synthesis and Biological Evaluation of N‐Substituted Noscapine Analogues. ChemMedChem. 7(12). 2122–2133. 44 indexed citations
17.
Hu, Yiding, Kathleen E. Sampson, Xing Li, et al.. (2010). Two Branched Polar Groups and Polar Linker Moieties of Thiophene Amide Derivatives Are Essential for MRP2/ABCC2 Recognition. Drug Metabolism Letters. 4(4). 254–261. 1 indexed citations
18.
Hu, Yiding, Shengtian Yang, Russell H. Robins, et al.. (2010). Novel Metabolic Bioactivation Mechanism for a Series of Anti-Inflammatory Agents (2,5-Diaminothiophene Derivatives) Mediated by Cytochrome P450 Enzymes. Drug Metabolism and Disposition. 38(9). 1522–1531. 11 indexed citations
19.
Xie, Jin, Frédéric Hollande, John M. Haynes, Colin W. Pouton, & Sabatino Ventura. (2009). Troubleshooting immunohistochemical labelling of proliferating cell nuclear antigen (PCNA) in cryocut tissue sections of mouse prostate. Journal of Pharmacological and Toxicological Methods. 61(2). 98–101. 2 indexed citations
20.
Berti, Lorenzo, et al.. (2001). Energy Transfer Cassettes for Facile Labeling of Sequencing and PCR Primers. Analytical Biochemistry. 292(2). 188–197. 28 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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