Jiawei Liang

107 total papers · 966 total citations
67 papers, 553 citations indexed

About

Jiawei Liang is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Jiawei Liang has authored 67 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Biomedical Engineering and 9 papers in Surgery. Recurrent topics in Jiawei Liang's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Neuroblastoma Research and Treatments (4 papers) and Advanced Neural Network Applications (3 papers). Jiawei Liang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Neuroblastoma Research and Treatments (4 papers) and Advanced Neural Network Applications (3 papers). Jiawei Liang collaborates with scholars based in China, Singapore and United Kingdom. Jiawei Liang's co-authors include Chengji Liu, Kai Li, Yufan Tao, Yihang Chen, Zhenyu Guan, Tong Zheng, Peng Lei, Jun Wang, Ahmar Mahboob and Jun Chen and has published in prestigious journals such as ACS Catalysis, Chemical Engineering Journal and Journal of Colloid and Interface Science.

In The Last Decade

Jiawei Liang

57 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
Jiawei Liang	94	73	64	60	60	67	553
Dakun Zhang	85 0.9×	54 0.7×	102 1.6×	76 1.3×	40 0.7×	52	509
Yunzhi Lin	96 1.0×	34 0.5×	45 0.7×	28 0.5×	29 0.5×	33	504
Young Jin Jeong	84 0.9×	32 0.4×	24 0.4×	40 0.7×	133 2.2×	65	666
Xiaohui Du	86 0.9×	188 2.6×	105 1.6×	106 1.8×	49 0.8×	68	640
Kazuya Nakano	107 1.1×	93 1.3×	70 1.1×	62 1.0×	78 1.3×	73	664
Simin Chen	28 0.3×	44 0.6×	26 0.4×	119 2.0×	68 1.1×	64	561
Sheheryar Khan	106 1.1×	68 0.9×	86 1.3×	72 1.2×	49 0.8×	49	526
Qin Qin	53 0.6×	55 0.8×	75 1.2×	67 1.1×	26 0.4×	53	511
Jinhui Wu	101 1.1×	47 0.6×	49 0.8×	170 2.8×	28 0.5×	45	626
G. Taylor	69 0.7×	22 0.3×	25 0.4×	72 1.2×	49 0.8×	37	505

Countries citing papers authored by Jiawei Liang

Since Specialization

Citations

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

Fields of papers citing papers by Jiawei Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawei Liang

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