Tianli Jin

67 total papers · 879 total citations
48 papers, 609 citations indexed

About

Tianli Jin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Tianli Jin has authored 48 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atomic and Molecular Physics, and Optics, 22 papers in Electrical and Electronic Engineering and 22 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Tianli Jin's work include Magnetic properties of thin films (36 papers), Advanced Memory and Neural Computing (17 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Tianli Jin is often cited by papers focused on Magnetic properties of thin films (36 papers), Advanced Memory and Neural Computing (17 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Tianli Jin collaborates with scholars based in Singapore, China and India. Tianli Jin's co-authors include S. N. Piramanayagam, Wen Siang Lew, Durgesh Kumar, R. Sbiaa, Xiaoxi Liu, Mathias Kläui, Jiangwei Cao, Ying Wang, Funan Tan and Fulin Wei and has published in prestigious journals such as Nano Letters, ACS Nano and Applied Physics Letters.

In The Last Decade

Tianli Jin

45 papers receiving 591 citations

Author Peers

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

Author						Papers	Cites
Tianli Jin	434	327	207	160	91	48	609
Jialiang Yin	275 0.6×	283 0.9×	111 0.5×	148 0.9×	71 0.8×	29	548
Hongmei Feng	355 0.8×	188 0.6×	260 1.3×	99 0.6×	68 0.7×	47	571
Teng Xu	331 0.8×	225 0.7×	200 1.0×	228 1.4×	80 0.9×	44	541
Wenqin Mo	158 0.4×	310 0.9×	93 0.4×	120 0.8×	102 1.1×	66	506
Himanshu Fulara	449 1.0×	303 0.9×	117 0.6×	81 0.5×	108 1.2×	23	567
Tiejun Zhou	301 0.7×	226 0.7×	198 1.0×	179 1.1×	88 1.0×	55	497
Yuan-Jen Lee	487 1.1×	360 1.1×	212 1.0×	108 0.7×	109 1.2×	22	609
Hui Zhu	128 0.3×	506 1.5×	99 0.5×	225 1.4×	184 2.0×	84	667
Zhenyi Zheng	443 1.0×	396 1.2×	168 0.8×	119 0.7×	84 0.9×	40	631
Seung‐Bo Shim	310 0.7×	379 1.2×	70 0.3×	112 0.7×	41 0.5×	39	653

Countries citing papers authored by Tianli Jin

Since Specialization

Citations

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

Fields of papers citing papers by Tianli Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianli Jin

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