Junwei Luo

1.8k total citations · 1 hit paper
73 papers, 1.2k citations indexed

About

Junwei Luo is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Junwei Luo has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 24 papers in Artificial Intelligence and 17 papers in Computational Theory and Mathematics. Recurrent topics in Junwei Luo's work include Genomics and Phylogenetic Studies (20 papers), Computational Drug Discovery Methods (12 papers) and RNA and protein synthesis mechanisms (11 papers). Junwei Luo is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Computational Drug Discovery Methods (12 papers) and RNA and protein synthesis mechanisms (11 papers). Junwei Luo collaborates with scholars based in China, Canada and United States. Junwei Luo's co-authors include Huimin Luo, Jianxin Wang, Fang‐Xiang Wu, Yi Pan, Chaokun Yan, Xiaoqing Peng, Min Li, Jianlin Wang, Zhanqiang Huo and Min Li and has published in prestigious journals such as Bioinformatics, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Junwei Luo

63 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

2016 329 citations Huimin Luo, Junwei Luo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junwei Luo China	18	679	425	263	198	121	73	1.2k
Volkan Atalay Türkiye	17	742 1.1×	548 1.3×	210 0.8×	430 2.2×	66 0.5×	67	1.6k
Zhihua Li China	10	520 0.8×	277 0.7×	91 0.3×	71 0.4×	84 0.7×	47	1.2k
Junaid Baber Pakistan	18	425 0.6×	468 1.1×	305 1.2×	232 1.2×	75 0.6×	52	1.3k
Wenzheng Bao China	18	795 1.2×	79 0.2×	113 0.4×	105 0.5×	53 0.4×	59	1.1k
K. Srinivas India	10	428 0.6×	101 0.2×	44 0.2×	24 0.1×	57 0.5×	26	793
Pu-Feng Du China	23	1.7k 2.5×	207 0.5×	126 0.5×	34 0.2×	28 0.2×	60	2.0k
Monica Agrawal India	6	447 0.7×	381 0.9×	386 1.5×	65 0.3×	41 0.3×	22	970

Countries citing papers authored by Junwei Luo

Since Specialization

Citations

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

Fields of papers citing papers by Junwei Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Luo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yan, Xiaohui, Yukang Zhang, Junwei Luo, et al.. (2025). A two-stage optimization approach to image-capture window positioning and path planning for automatic optical inspection. Swarm and Evolutionary Computation. 92. 101840–101840. 1 indexed citations

Yan, Xiaohui, Yukang Zhang, Junwei Luo, et al.. (2025). Scheduling Optimization of Emergency Resources to Chemical Industrial Parks Based on Improved Bacterial Foraging Optimization. Symmetry. 17(2). 251–251.

Luo, Junwei, et al.. (2025). GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity. BMC Genomics. 26(1). 105–105. 2 indexed citations

Yan, Chaokun, et al.. (2025). ResDeepGS: A deep learning-based method for crop phenotype prediction. Methods. 244. 65–74. 1 indexed citations

Wang, Junfeng, Jingjing Wei, Chaokun Yan, et al.. (2025). CGLoop: a neural network framework for chromatin loop prediction. BMC Genomics. 26(1). 342–342.

Luo, Junwei, et al.. (2024). GCphase: an SNP phasing method using a graph partition and error correction algorithm. BMC Bioinformatics. 25(1). 267–267. 1 indexed citations

Yan, Chaokun, et al.. (2024). DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation. Computers in Biology and Medicine. 179. 108792–108792. 4 indexed citations

Zhang, Ge, Chaokun Yan, Jianlin Wang, et al.. (2024). MPASL: multi-perspective learning knowledge graph attention network for synthetic lethality prediction in human cancer. Frontiers in Pharmacology. 15. 1398231–1398231. 1 indexed citations

Luo, Huimin, Chunli Zhu, Jianlin Wang, et al.. (2024). Prediction of drug–disease associations based on reinforcement symmetric metric learning and graph convolution network. Frontiers in Pharmacology. 15. 1337764–1337764. 5 indexed citations

10.

Luo, Huimin, Jianlin Wang, Ge Zhang, et al.. (2024). Drug-drug interactions prediction based on deep learning and knowledge graph: A review. iScience. 27(3). 109148–109148. 28 indexed citations

11.

Luo, Junwei, et al.. (2023). SLHSD: hybrid scaffolding method based on short and long reads. Briefings in Bioinformatics. 24(3).

12.

Zhang, Ge, Zhijie Gao, Chaokun Yan, et al.. (2023). KGANSynergy: knowledge graph attention network for drug synergy prediction. Briefings in Bioinformatics. 24(3). 20 indexed citations

13.

Luo, Junwei, et al.. (2022). Stereo super-resolution images detection based on multi-scale feature extraction and hierarchical feature fusion. Gene Expression Patterns. 45. 119266–119266. 3 indexed citations

14.

Peng, Zhen, et al.. (2022). A novel liver cancer diagnosis method based on patient similarity network and DenseGCN. Scientific Reports. 12(1). 6797–6797. 17 indexed citations

15.

Wang, Jianlin, Wenxiu Wang, Chaokun Yan, Junwei Luo, & Ge Zhang. (2021). Predicting Drug-Disease Association Based on Ensemble Strategy. Frontiers in Genetics. 12. 666575–666575. 16 indexed citations

16.

Luo, Junwei, et al.. (2021). BreakNet: detecting deletions using long reads and a deep learning approach. BMC Bioinformatics. 22(1). 577–577. 11 indexed citations

17.

Huo, Zhanqiang, et al.. (2020). D-MSCD: Mean-Standard Deviation Curve Descriptor Based on Deep Learning. IEEE Access. 8. 204509–204517. 3 indexed citations

18.

Zhang, Ge, et al.. (2020). Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm. Interdisciplinary Sciences Computational Life Sciences. 12(3). 288–301. 66 indexed citations

19.

Luo, Junwei, et al.. (2020). LROD: An Overlap Detection Algorithm for Long Reads Based on k-mer Distribution. Frontiers in Genetics. 11. 632–632. 1 indexed citations

20.

Luo, Junwei, et al.. (2019). SLR: a scaffolding algorithm based on long reads and contig classification. BMC Bioinformatics. 20(1). 539–539. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Volkan Atalay Breakdown of academic impact, for papers by Zhihua Li Breakdown of academic impact, for papers by Junaid Baber Breakdown of academic impact, for papers by Wenzheng Bao Breakdown of academic impact, for papers by K. Srinivas Breakdown of academic impact, for papers by Pu-Feng Du Breakdown of academic impact, for papers by Monica Agrawal