Gai‐Li Li

475 total citations
19 papers, 393 citations indexed

About

Gai‐Li Li is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Gai‐Li Li has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in Gai‐Li Li's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Chemical Synthesis and Analysis (3 papers). Gai‐Li Li is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Chemical Synthesis and Analysis (3 papers). Gai‐Li Li collaborates with scholars based in China and Hong Kong. Gai‐Li Li's co-authors include Karen Ka‐Yan Kung, Man‐Kin Wong, Bo Wang, Jiayun He, Qin Yang, Xianhua Xu, Jianwen Gu, Fabao Gao, Gong Ju and Zhen Xu and has published in prestigious journals such as Chemical Communications, Behavioural Brain Research and European Journal of Medicinal Chemistry.

In The Last Decade

Gai‐Li Li

16 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gai‐Li Li China	10	199	106	46	43	40	19	393
Sébastien Dilly Belgium	14	147 0.7×	256 2.4×	13 0.3×	8 0.2×	24 0.6×	38	477
Bruno R. Silva Brazil	13	24 0.1×	87 0.8×	23 0.5×	54 1.3×	50 1.3×	31	533
Claudio Giuliano United States	14	82 0.4×	123 1.2×	15 0.3×	26 0.6×	73 1.8×	29	499
Somayeh Mousavi Iran	11	165 0.8×	83 0.8×	11 0.2×	18 0.4×	56 1.4×	27	434
Muhammad Rafehi Germany	15	73 0.4×	280 2.6×	15 0.3×	12 0.3×	16 0.4×	29	536
Susan Khan United States	11	105 0.5×	199 1.9×	13 0.3×	22 0.5×	42 1.1×	14	412
Ge Xu China	12	236 1.2×	89 0.8×	12 0.3×	55 1.3×	7 0.2×	27	463
T Sugimoto Japan	14	172 0.9×	237 2.2×	16 0.3×	11 0.3×	46 1.1×	32	590
Ashok Behera India	8	53 0.3×	90 0.8×	16 0.3×	11 0.3×	34 0.8×	33	308
Yu‐Wei Liu Taiwan	12	67 0.3×	105 1.0×	11 0.2×	14 0.3×	12 0.3×	73	502

Countries citing papers authored by Gai‐Li Li

Since Specialization

Citations

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

Fields of papers citing papers by Gai‐Li Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gai‐Li Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gai‐Li Li. A scholar is included among the top collaborators of Gai‐Li 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 Gai‐Li Li. Gai‐Li Li 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:

19 of 19 papers shown

Li, Gai‐Li, et al.. (2025). A spatial-temporal graph attention network for protein–ligand binding affinity prediction based on molecular geometry. Multimedia Systems. 31(2).

Li, Gai‐Li, Yongna Yuan, & Ruisheng Zhang. (2025). Relevance of 3D Rotationally Equivariant Neural Networks for Predicting Protein-Ligand Binding Affinities. Interdisciplinary Sciences Computational Life Sciences. 1 indexed citations

Li, Gai‐Li, et al.. (2024). Predicting Protein–Ligand Binding Affinity Using Fusion Model of Spatial-Temporal Graph Neural Network and 3D Structure-Based Complex Graph. Interdisciplinary Sciences Computational Life Sciences. 17(2). 257–276. 2 indexed citations

Zhang, Ruisheng, et al.. (2023). NoiseMol: A noise-robusted data augmentation via perturbing noise for molecular property prediction. Journal of Molecular Graphics and Modelling. 121. 108454–108454. 6 indexed citations

Li, Gai‐Li, et al.. (2023). Ensemble of local and global information for Protein–Ligand Binding Affinity Prediction. Computational Biology and Chemistry. 107. 107972–107972. 3 indexed citations

Zhang, Qiuyu, Gai‐Li Li, & Yibo Huang. (2020). An efficient retrieval approach for encrypted speech based on biological hashing and spectral subtraction. Multimedia Tools and Applications. 79(39-40). 29775–29798. 7 indexed citations

Zhang, Qiuyu, et al.. (2020). A Safety and Efficient Speech Biological Hashing Algorithm. 169–180. 1 indexed citations

Zhang, Qiuyu, et al.. (2020). A Retrieval Algorithm of Encrypted Speech Based on Biological Hashing. 126–140.

Yang, Qin, et al.. (2019). Comparison of the effects of nimodipine and deferoxamine on brain injury in rat with subarachnoid hemorrhage. Behavioural Brain Research. 367. 194–200. 11 indexed citations

10.

Li, Gai‐Li, Chao‐Yun Cai, Jiayun He, et al.. (2016). Synthesis of 3-acyloxyxanthone derivatives as α-glucosidase inhibitors: A further insight into the 3-substituents’ effect. Bioorganic & Medicinal Chemistry. 24(7). 1431–1438. 23 indexed citations

11.

Yang, Qin, Gai‐Li Li, Xianhua Xu, et al.. (2016). Brain structure alterations and cognitive impairment following repetitive mild head impact: An in vivo MRI and behavioral study in rat. Behavioural Brain Research. 340. 41–48. 32 indexed citations

12.

Yang, Qin, Jianwen Gu, Gai‐Li Li, et al.. (2015). Cerebral vasospasm and corticospinal tract injury induced by a modified rat model of subarachnoid hemorrhage. Journal of the Neurological Sciences. 358(1-2). 193–200. 11 indexed citations

13.

Kung, Karen Ka‐Yan, Vanessa Kar‐Yan Lo, Gai‐Li Li, et al.. (2013). Cyclometallated Gold(III) Complexes as Effective Catalysts for Synthesis of Propargylic Amines, Chiral Allenes and Isoxazoles. Advanced Synthesis & Catalysis. 355(10). 2055–2070. 82 indexed citations

14.

Xu, Xianhua, et al.. (2013). Entecavir plus adefovir rescue therapy for chronic hepatitis B patients after multiple treatment failures in real-life practice. Virology Journal. 10(1). 162–162. 11 indexed citations

15.

Li, Gai‐Li, Karen Ka‐Yan Kung, & Man‐Kin Wong. (2012). Gold-catalyzed amide synthesis from aldehydes and amines in aqueous medium. Chemical Communications. 48(34). 4112–4112. 81 indexed citations

16.

Li, Gai‐Li, Jiayun He, Aiqin Zhang, et al.. (2011). Toward potent α-glucosidase inhibitors based on xanthones: A closer look into the structure–activity correlations. European Journal of Medicinal Chemistry. 46(9). 4050–4055. 44 indexed citations

17.

Zhang, Xijing, Zhen Xu, Xin Li, et al.. (2006). Morphological evidence for existence of IL‐6 receptor alpha in the glomus cells of rat carotid body. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 288A(3). 292–296. 41 indexed citations

18.

Kuang, Fang, Bai‐Ren Wang, Ping Zhang, et al.. (2004). EXTRAVASATION OF BLOOD-BORNE IMMUNOGLOBULIN G THROUGH BLOOD-BRAIN BARRIER DURING ADRENALINE-INDUCED TRANSIENT HYPERTENSION IN THE RAT. International Journal of Neuroscience. 114(6). 575–591. 36 indexed citations

19.

Liu, Jie, Xinguang Yang, Fang Kuang, et al.. (2004). [The effect of copolymer-1 on the apoptosis and the IL-6R expression of the retinal ganglion cells in chronic elevated intraocular pressure rat model].. PubMed. 20(3). 293–6, 300. 1 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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