Ling Liang

83 total papers · 821 total citations
36 papers, 334 citations indexed

About

Ling Liang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Ling Liang has authored 36 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 7 papers in Molecular Biology. Recurrent topics in Ling Liang's work include Luminescence and Fluorescent Materials (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Memory and Neural Computing (4 papers). Ling Liang is often cited by papers focused on Luminescence and Fluorescent Materials (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Memory and Neural Computing (4 papers). Ling Liang collaborates with scholars based in China, Japan and United Kingdom. Ling Liang's co-authors include Xin Dong Guo, Bo Zhi Chen, Fanggui Ye, Shulin Zhao, Mohammad‐Ali Shahbazi, Ze Qiang Zhao, Yun Hao Feng, Hiroshi Uyama, Juan Peng and Yuan Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Drug Delivery Reviews and Chemical Engineering Journal.

In The Last Decade

Ling Liang

31 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Ling Liang	100	87	77	76	64	36	334
Ziyi Lu	81 0.8×	38 0.4×	100 1.3×	85 1.1×	32 0.5×	29	351
Jiaojiao Zhu	133 1.3×	81 0.9×	134 1.7×	14 0.2×	36 0.6×	34	385
Xiaopan Wang	63 0.6×	19 0.2×	41 0.5×	27 0.4×	22 0.3×	34	319
Qianjie Zhang	29 0.3×	84 1.0×	48 0.6×	36 0.5×	19 0.3×	46	353
Yuan Qu	120 1.2×	16 0.2×	36 0.5×	49 0.6×	36 0.6×	31	386
Yating Yang	84 0.8×	39 0.4×	36 0.5×	13 0.2×	14 0.2×	55	295
Shirui Zhao	90 0.9×	172 2.0×	194 2.5×	9 0.1×	42 0.7×	35	387
Shah Rukh Abbas	74 0.7×	31 0.4×	107 1.4×	66 0.9×	54 0.8×	23	322
Chao Xin	76 0.8×	24 0.3×	71 0.9×	8 0.1×	28 0.4×	26	380
Kaixin Chen	101 1.0×	27 0.3×	30 0.4×	19 0.3×	59 0.9×	34	391

Countries citing papers authored by Ling Liang

Since Specialization

Citations

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

Fields of papers citing papers by Ling Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Liang

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