Haibo Li

52 total papers · 503 total citations
39 papers, 416 citations indexed

About

Haibo Li is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Haibo Li has authored 39 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atomic and Molecular Physics, and Optics, 23 papers in Electronic, Optical and Magnetic Materials and 11 papers in Materials Chemistry. Recurrent topics in Haibo Li's work include Magnetic properties of thin films (25 papers), Magnetic Properties and Applications (15 papers) and Copper Interconnects and Reliability (7 papers). Haibo Li is often cited by papers focused on Magnetic properties of thin films (25 papers), Magnetic Properties and Applications (15 papers) and Copper Interconnects and Reliability (7 papers). Haibo Li collaborates with scholars based in China, United States and Pakistan. Haibo Li's co-authors include Yongsheng Yu, Zhanhua Wang, Jing Xie, Sen Liang, Zhicheng Tian, Bai Yang, Junhu Zhang, Hao Zhang, Yunfeng Li and Chuang Li and has published in prestigious journals such as ACS Nano, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

Haibo Li

35 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Haibo Li	261	155	107	88	71	39	416
N. A. Grigoryeva	263 1.0×	94 0.6×	213 2.0×	86 1.0×	95 1.3×	40	479
Daniel E. Azofeifa	123 0.5×	80 0.5×	139 1.3×	82 0.9×	106 1.5×	33	472
S. Zuber	160 0.6×	65 0.4×	143 1.3×	141 1.6×	67 0.9×	38	381
Xiao Wang	76 0.3×	49 0.3×	234 2.2×	226 2.6×	131 1.8×	42	476
Srivathsava Surabhi	86 0.3×	190 1.2×	170 1.6×	150 1.7×	107 1.5×	44	474
Ugo Cataldi	92 0.4×	224 1.4×	91 0.9×	75 0.9×	226 3.2×	19	393
Mu Lu	245 0.9×	246 1.6×	195 1.8×	78 0.9×	54 0.8×	58	494
Yongyi Gao	70 0.3×	96 0.6×	209 2.0×	130 1.5×	96 1.4×	44	403
Tae Hui Kang	139 0.5×	55 0.4×	103 1.0×	213 2.4×	29 0.4×	37	394
Wei Wang	143 0.5×	140 0.9×	231 2.2×	47 0.5×	72 1.0×	23	470

Countries citing papers authored by Haibo Li

Since Specialization

Citations

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

Fields of papers citing papers by Haibo Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Li

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