Kang Ji

46 total papers · 1.1k total citations
34 papers, 951 citations indexed

About

Kang Ji is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kang Ji has authored 34 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kang Ji's work include Perovskite Materials and Applications (7 papers), Electrocatalysts for Energy Conversion (6 papers) and Conducting polymers and applications (6 papers). Kang Ji is often cited by papers focused on Perovskite Materials and Applications (7 papers), Electrocatalysts for Energy Conversion (6 papers) and Conducting polymers and applications (6 papers). Kang Ji collaborates with scholars based in China, Australia and Poland. Kang Ji's co-authors include Ping Yang, Jianyu Yuan, Yunlong Yue, Yannan Zhang, Wanli Ma, Xufeng Ling, Desheng Kong, Chong Bai, Quande Che and Jiaxue Zhang and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Langmuir.

In The Last Decade

Kang Ji

33 papers receiving 941 citations

Author Peers

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

Author						Papers	Cites
Kang Ji	588	583	315	120	98	34	951
Kourosh Adib	354 0.6×	409 0.7×	265 0.8×	168 1.4×	214 2.2×	30	881
Hongmei Wang	332 0.6×	686 1.2×	561 1.8×	158 1.3×	81 0.8×	46	1.0k
Archita Bhattacharjee	434 0.7×	857 1.5×	417 1.3×	147 1.2×	105 1.1×	28	1.1k
G. Rajesh	368 0.6×	486 0.8×	283 0.9×	107 0.9×	80 0.8×	33	809
Guoning Liu	471 0.8×	691 1.2×	404 1.3×	59 0.5×	71 0.7×	29	1.1k
Hakimeh Teymourinia	293 0.5×	489 0.8×	269 0.9×	81 0.7×	61 0.6×	24	799
Yang Wang	434 0.7×	706 1.2×	718 2.3×	63 0.5×	114 1.2×	36	1.1k
K. Bhuvaneswari	297 0.5×	667 1.1×	681 2.2×	70 0.6×	99 1.0×	39	989
C. C. Vidyasagar	402 0.7×	708 1.2×	389 1.2×	116 1.0×	105 1.1×	36	1.0k
B. Bellal	355 0.6×	701 1.2×	632 2.0×	129 1.1×	107 1.1×	50	1.1k

Countries citing papers authored by Kang Ji

Since Specialization

Citations

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

Fields of papers citing papers by Kang Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Ji

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