Xianyi Lian

1.2k total citations
10 papers, 684 citations indexed

About

Xianyi Lian is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Xianyi Lian has authored 10 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Computational Theory and Mathematics. Recurrent topics in Xianyi Lian's work include Bioinformatics and Genomic Networks (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Machine Learning in Bioinformatics (3 papers). Xianyi Lian is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Machine Learning in Bioinformatics (3 papers). Xianyi Lian collaborates with scholars based in China and United States. Xianyi Lian's co-authors include Ziding Zhang, Shiping Yang, Xiaodi Yang, Fu Chen, Stefan Wuchty, Ada Ma, Yizhuo Shen, Jinguo Chu, Guoqing Qian and Naibin Yang and has published in prestigious journals such as Bioinformatics, Journal of Proteome Research and Briefings in Bioinformatics.

In The Last Decade

Xianyi Lian

10 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xianyi Lian China	8	412	206	160	102	71	10	684
Xuanlin Huang China	8	453 1.1×	165 0.8×	227 1.4×	167 1.6×	117 1.6×	9	854
Shih-Hwa Chiou Taiwan	5	399 1.0×	195 0.9×	98 0.6×	117 1.1×	32 0.5×	11	683
Jianyong Zhu China	9	406 1.0×	137 0.7×	89 0.6×	49 0.5×	69 1.0×	15	703
Ruochen Zang China	9	557 1.4×	292 1.4×	118 0.7×	81 0.8×	57 0.8×	13	926
Timo B. Trefzer Germany	6	728 1.8×	257 1.2×	215 1.3×	144 1.4×	88 1.2×	7	1.2k
Ronghui Liang China	13	507 1.2×	185 0.9×	104 0.7×	87 0.9×	131 1.8×	22	910
Qiru Zeng China	5	559 1.4×	142 0.7×	116 0.7×	72 0.7×	53 0.7×	10	728
Huihui Wang China	11	364 0.9×	315 1.5×	59 0.4×	62 0.6×	36 0.5×	32	787
Jianli Cao China	12	470 1.1×	152 0.7×	96 0.6×	92 0.9×	146 2.1×	30	829
María Florencia Gómez Castro Argentina	6	533 1.3×	167 0.8×	118 0.7×	74 0.7×	74 1.0×	8	814

Countries citing papers authored by Xianyi Lian

Since Specialization

Citations

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

Fields of papers citing papers by Xianyi Lian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianyi Lian

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

10 of 10 papers shown

Lian, Xianyi, Xiaodi Yang, Shiping Yang, & Ziding Zhang. (2021). Current status and future perspectives of computational studies on human–virus protein–protein interactions. Briefings in Bioinformatics. 22(5). 23 indexed citations

Yang, Xiaodi, Shiping Yang, Xianyi Lian, Stefan Wuchty, & Ziding Zhang. (2021). Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction. Bioinformatics. 37(24). 4771–4778. 53 indexed citations

Qian, Guoqing, Naibin Yang, Feng Ding, et al.. (2020). Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: a retrospective, multi-centre case series. QJM. 113(7). 474–481. 298 indexed citations

Yang, Xiaodi, Xianyi Lian, Fu Chen, et al.. (2020). HVIDB: a comprehensive database for human–virus protein–protein interactions. Briefings in Bioinformatics. 22(2). 832–844. 55 indexed citations

Chen, Fu, Shiping Yang, Xiaodi Yang, et al.. (2020). Human Gene Functional Network-Informed Prediction of HIV-1 Host Dependency Factors. mSystems. 5(6). 4 indexed citations

Lian, Xianyi, Xiaodi Yang, Fujun Hou, et al.. (2020). Prediction and analysis of human‐herpes simplex virus type 1 protein‐protein interactions by integrating multiple methods. Quantitative Biology. 8(4). 312–324. 9 indexed citations

Yu, Li, Ziding Zhang, Yang Li, et al.. (2020). The MERS-CoV Receptor DPP4 as a Candidate Binding Target of the SARS-CoV-2 Spike. iScience. 23(6). 101160–101160. 152 indexed citations

Yu, Li, Ziding Zhang, Yang Li, et al.. (2020). The MERS-CoV Receptor DPP4 as a Candidate Binding Target of the SARS-CoV-2 Spike. SSRN Electronic Journal. 7 indexed citations

Lian, Xianyi, Shiping Yang, Hong Li, Fu Chen, & Ziding Zhang. (2019). Machine-Learning-Based Predictor of Human–Bacteria Protein–Protein Interactions by Incorporating Comprehensive Host-Network Properties. Journal of Proteome Research. 18(5). 2195–2205. 38 indexed citations

10.

Yang, Shiping, Fu Chen, Xianyi Lian, Xiaobao Dong, & Ziding Zhang. (2019). Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework. mSystems. 4(2). 45 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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