Menglu Li

1.1k total citations
40 papers, 762 citations indexed

About

Menglu Li is a scholar working on Molecular Biology, Aquatic Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Menglu Li has authored 40 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Aquatic Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Menglu Li's work include Aquaculture Nutrition and Growth (7 papers), Machine Learning in Bioinformatics (6 papers) and Bioinformatics and Genomic Networks (6 papers). Menglu Li is often cited by papers focused on Aquaculture Nutrition and Growth (7 papers), Machine Learning in Bioinformatics (6 papers) and Bioinformatics and Genomic Networks (6 papers). Menglu Li collaborates with scholars based in China, Czechia and Botswana. Menglu Li's co-authors include Zhongke Feng, Zixuan Qiu, Panpan Zhang, Junfeng Xia, Wen Zhang, Yannan Bin, Mengya Liu, Ning Chen, Yunhong Li and Jianguo Jiang and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Cleaner Production.

In The Last Decade

Menglu Li

36 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Menglu Li China	13	312	141	127	83	80	40	762
Johannes W. Kruisselbrink Netherlands	15	110 0.4×	66 0.5×	50 0.4×	60 0.7×	28 0.3×	39	772
Yanchao Wang China	19	88 0.3×	282 2.0×	33 0.3×	22 0.3×	53 0.7×	51	962
Zikang Wang China	19	523 1.7×	120 0.9×	102 0.8×	75 0.9×	16 0.2×	108	1.5k
Lingjuan Li China	19	245 0.8×	127 0.9×	175 1.4×	124 1.5×	22 0.3×	71	1.0k
Ronnie Alves Brazil	15	199 0.6×	31 0.2×	147 1.2×	31 0.4×	18 0.2×	53	757
Guo Jiang China	17	106 0.3×	118 0.8×	125 1.0×	56 0.7×	48 0.6×	49	900
Tingting Ren China	21	374 1.2×	155 1.1×	144 1.1×	115 1.4×	24 0.3×	75	1.5k
Hui Feng China	20	450 1.4×	46 0.3×	389 3.1×	143 1.7×	108 1.4×	50	1.9k
Nathan Pollesch United States	9	99 0.3×	68 0.5×	63 0.5×	28 0.3×	49 0.6×	12	736
Weilin Wang China	17	59 0.2×	515 3.7×	180 1.4×	21 0.3×	312 3.9×	39	1.1k

Countries citing papers authored by Menglu Li

Since Specialization

Citations

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

Fields of papers citing papers by Menglu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglu Li

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

All Works

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20 of 20 papers shown

Sun, Xue, Haitao Li, Yajie Song, et al.. (2025). Cascade reactors for long-life solid-state sodium–air batteries. Nature Communications. 16(1). 5814–5814.

Li, Menglu, Yongkang Wang, Yujing Ni, et al.. (2025). Revealing Herb-Symptom Associations and Mechanisms of Action in Protein Networks Using Subgraph Matching Learning. IEEE Journal of Biomedical and Health Informatics. PP. 1–8.

Li, Menglu, et al.. (2024). Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 188–196. 3 indexed citations

Li, Menglu, Chenhui Zhang, Tian Zhou, et al.. (2024). Hfq-binding small RNA PqsS regulates Pseudomonas aeruginosa pqs quorum sensing system and virulence. npj Biofilms and Microbiomes. 10(1). 82–82. 12 indexed citations

Li, Menglu, et al.. (2024). Effects of Substituting Fish Meal by Chlorella Meal in Practical Diet on Growth, Feed Utilization, and Flesh Quality of Pacific White Shrimp (Penaeus vannamei). Aquaculture Nutrition. 2024(1). 9969518–9969518.

Yao, Wenxiang, Xiaoqin Li, Xin Zhang, et al.. (2024). The complete replacement of fish meal with Clostridium autoethanogenum protein in practical diet did not affect the growth, but reduced the flesh quality of Pacific white shrimp, Litopenaeus vannamei. Animal Feed Science and Technology. 310. 115919–115919. 5 indexed citations

Fu, Haitao, Menglu Li, Yuyang Wu, et al.. (2024). Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms. Briefings in Bioinformatics. 25(5). 3 indexed citations

Li, Menglu, et al.. (2023). Crosslinked γ-cyclodextrin metal organic framework for stable ibuprofen loading. Materials Research Express. 10(10). 105014–105014. 2 indexed citations

Li, Menglu, et al.. (2023). Incremental discovery of denial constraints. The VLDB Journal. 32(6). 1289–1313. 2 indexed citations

10.

Huang, Feng, et al.. (2023). Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction. 4829–4837. 11 indexed citations

11.

Liu, Shichao, et al.. (2022). Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction. Bioinformatics. 38(20). 4782–4789. 43 indexed citations

12.

Wang, Yuanyuan, Menglu Li, Ke Shuai, et al.. (2022). Supplemental bile acids in low fishmeal diet improved the growth, nutrient utilization of Pacific white shrimp (Litopenaeus vannamei). Aquaculture Reports. 28. 101452–101452. 6 indexed citations

13.

Luo, Zhi-Hui, et al.. (2022). DSEATM: drug set enrichment analysis uncovering disease mechanisms by biomedical text mining. Briefings in Bioinformatics. 23(4). 3 indexed citations

14.

Zhang, Sijia, Lihua Wang, Le Zhao, et al.. (2021). An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties. BMC Bioinformatics. 22(S3). 253–253. 6 indexed citations

15.

Li, Menglu, et al.. (2021). SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations. Briefings in Bioinformatics. 23(1). 23 indexed citations

16.

Li, Menglu, Mengya Liu, Yannan Bin, & Junfeng Xia. (2020). Prediction of circRNA-disease associations based on inductive matrix completion. BMC Medical Genomics. 13(S5). 42–42. 59 indexed citations

17.

Wang, Hao, et al.. (2020). Variability in water chemistry of the Three Gorges Reservoir, China. Heliyon. 6(4). e03610–e03610. 6 indexed citations

18.

Wang, Hao, Xiangbin Ran, Jingxi Li, et al.. (2019). Response of the sediment geochemistry of the Changjiang River (Yangtze River) to the impoundment of the Three Gorges Dam. Journal of Environmental Sciences. 83. 161–173. 12 indexed citations

19.

Li, Menglu. (2013). Accurate location algorithm design for license plate based on three steps location. Jisuanji gongcheng yu sheji.

20.

Jiang, Jianguo, et al.. (2012). STUDY ON THERMAL DESORPTION OF ORGANIC CONTAMINATED SOIL AND ITS APPLICATION. 30(1). 128–131. 3 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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