Hailong Wang

18 total papers · 469 total citations
14 papers, 388 citations indexed

About

Hailong Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Hailong Wang has authored 14 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 5 papers in Polymers and Plastics. Recurrent topics in Hailong Wang's work include Perovskite Materials and Applications (11 papers), Quantum Dots Synthesis And Properties (6 papers) and Conducting polymers and applications (5 papers). Hailong Wang is often cited by papers focused on Perovskite Materials and Applications (11 papers), Quantum Dots Synthesis And Properties (6 papers) and Conducting polymers and applications (5 papers). Hailong Wang collaborates with scholars based in China and United Kingdom. Hailong Wang's co-authors include Zhiyuan Xie, Zhong Lin Wang, Xinmei Hou, Tao Yang, Linlin Zhou, Laipan Zhu, Zhi Fang, Baohua Zhang, Xiaofei Zhao and Yushuai Xu and has published in prestigious journals such as Advanced Functional Materials, Tetrahedron and The Journal of Physical Chemistry Letters.

In The Last Decade

Hailong Wang

13 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Hailong Wang	284	205	119	114	33	14	388
Jian Zhao	147 0.5×	257 1.3×	99 0.8×	89 0.8×	35 1.1×	17	389
Haoming Yan	246 0.9×	206 1.0×	157 1.3×	136 1.2×	35 1.1×	19	426
Hyunsun Song	291 1.0×	171 0.8×	55 0.5×	177 1.6×	55 1.7×	13	446
Yeongsik Kim	125 0.4×	223 1.1×	92 0.8×	99 0.9×	62 1.9×	18	391
Seong Man Yu	189 0.7×	264 1.3×	88 0.7×	195 1.7×	31 0.9×	13	395
Marcos A. Reyes‐Martinez	357 1.3×	187 0.9×	184 1.5×	110 1.0×	28 0.8×	14	442
Mark Oliver	215 0.8×	149 0.7×	146 1.2×	114 1.0×	30 0.9×	14	381
Shuanglong Yuan	246 0.9×	228 1.1×	72 0.6×	86 0.8×	18 0.5×	21	380
Elhadj M. Diallo	258 0.9×	168 0.8×	56 0.5×	80 0.7×	42 1.3×	11	370
Yiyan Chen	142 0.5×	112 0.5×	82 0.7×	129 1.1×	36 1.1×	18	380

Countries citing papers authored by Hailong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hailong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Wang

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