Huiling Liu

40 total papers · 579 total citations
23 papers, 309 citations indexed

About

Huiling Liu is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Huiling Liu has authored 23 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Huiling Liu's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). Huiling Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). Huiling Liu collaborates with scholars based in China, United States and Japan. Huiling Liu's co-authors include Fei Li, Hongxia Niu, Jinhui Tian, Chunyan Hao, Xiangwen Liu, Bingdong Zhu, Ying Zhang, Degui Wang, Cheng Chen and Lang Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Huiling Liu

20 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Huiling Liu	115	99	48	47	44	23	309
Li Shi	80 0.7×	82 0.8×	42 0.9×	26 0.6×	42 1.0×	26	303
Denise Clavijo‐Cornejo	124 1.1×	50 0.5×	77 1.6×	42 0.9×	51 1.2×	30	365
Tingting Han	59 0.5×	48 0.5×	33 0.7×	40 0.9×	74 1.7×	24	323
Yuichiro Yamamoto	135 1.2×	72 0.7×	55 1.1×	21 0.4×	39 0.9×	29	350
Timothy A. Zaki	55 0.5×	131 1.3×	44 0.9×	44 0.9×	63 1.4×	22	302
Shi Yang	109 0.9×	78 0.8×	60 1.3×	62 1.3×	17 0.4×	27	329
Gemma Petts	84 0.7×	39 0.4×	49 1.0×	27 0.6×	31 0.7×	26	277
Livia Salmi	106 0.9×	65 0.7×	65 1.4×	22 0.5×	50 1.1×	18	359
Atsuo Hattori	87 0.8×	87 0.9×	47 1.0×	17 0.4×	56 1.3×	28	336
Peter Benöhr	81 0.7×	113 1.1×	23 0.5×	42 0.9×	37 0.8×	21	325

Countries citing papers authored by Huiling Liu

Since Specialization

Citations

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

Fields of papers citing papers by Huiling Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiling Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Huiling Liu. A scholar is included among the top collaborators of Huiling 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 Huiling Liu. Huiling 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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