Xinjing Liu

86 total papers · 711 total citations
54 papers, 492 citations indexed

About

Xinjing Liu is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Xinjing Liu has authored 54 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Neurology and 9 papers in Epidemiology. Recurrent topics in Xinjing Liu's work include Adversarial Robustness in Machine Learning (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers) and Acute Ischemic Stroke Management (5 papers). Xinjing Liu is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers) and Acute Ischemic Stroke Management (5 papers). Xinjing Liu collaborates with scholars based in China, United States and Macao. Xinjing Liu's co-authors include Yuming Xu, Bo Song, Lulu Pei, Yan Li, Yigang Wei, Changhe Shi, Lan Ding, Shilei Sun, Wan Zhang and Rui Zhang and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Xinjing Liu

46 papers receiving 489 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xinjing Liu	153	121	120	89	69	54	492
Pınar Eser Ocak	146 1.0×	99 0.8×	171 1.4×	92 1.0×	34 0.5×	50	467
Han Xiao	232 1.5×	121 1.0×	124 1.0×	98 1.1×	58 0.8×	33	511
Yibo Liu	176 1.2×	89 0.7×	121 1.0×	60 0.7×	61 0.9×	49	544
Jiyue Wang	168 1.1×	97 0.8×	83 0.7×	81 0.9×	81 1.2×	38	416
Jiangshan Deng	165 1.1×	92 0.8×	96 0.8×	120 1.3×	36 0.5×	32	444
Lianhua Zhao	161 1.1×	91 0.8×	158 1.3×	110 1.2×	46 0.7×	24	456
Jialing Wu	221 1.4×	78 0.6×	47 0.4×	100 1.1×	76 1.1×	36	501
Makoto Hayase	153 1.0×	99 0.8×	67 0.6×	67 0.8×	45 0.7×	31	427
Guoqiang Yang	192 1.3×	68 0.6×	96 0.8×	46 0.5×	60 0.9×	43	507
Shenquan Guo	166 1.1×	129 1.1×	176 1.5×	37 0.4×	48 0.7×	23	433

Countries citing papers authored by Xinjing Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xinjing Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjing Liu

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

All Works

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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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