Guang Ji

29 total papers · 437 total citations
24 papers, 342 citations indexed

About

Guang Ji is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Guang Ji has authored 24 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 9 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Guang Ji's work include Electrical and Thermal Properties of Materials (8 papers), Ferroelectric and Piezoelectric Materials (8 papers) and Service-Oriented Architecture and Web Services (3 papers). Guang Ji is often cited by papers focused on Electrical and Thermal Properties of Materials (8 papers), Ferroelectric and Piezoelectric Materials (8 papers) and Service-Oriented Architecture and Web Services (3 papers). Guang Ji collaborates with scholars based in China, Australia and Canada. Guang Ji's co-authors include Aimin Chang, Pengjun Zhao, Bo Zhang, Juan Hou, Wenwen Kong, Huimin Zhang, Chunping Jiang, Bo Gao, Yanbo Han and Long Chen and has published in prestigious journals such as Journal of Materials Science, Journal of Ethnopharmacology and Journal of Physics D Applied Physics.

In The Last Decade

Guang Ji

23 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Guang Ji	190	167	39	38	33	24	342
Akshay Patil	46 0.2×	104 0.6×	30 0.8×	27 0.7×	30 0.9×	30	310
Yulong Yu	71 0.4×	90 0.5×	17 0.4×	20 0.5×	47 1.4×	44	382
Sojung Lee	178 0.9×	176 1.1×	71 1.8×	70 1.8×	15 0.5×	18	382
Yubo Huang	119 0.6×	36 0.2×	94 2.4×	45 1.2×	49 1.5×	28	398
Yeonwoo Kim	183 1.0×	166 1.0×	38 1.0×	16 0.4×	22 0.7×	30	399
Yu-Chun Lee	213 1.1×	216 1.3×	12 0.3×	15 0.4×	14 0.4×	17	390
Zongquan Zhang	82 0.4×	126 0.8×	60 1.5×	13 0.3×	46 1.4×	24	346
Ying-Lin Chen	107 0.6×	37 0.2×	73 1.9×	75 2.0×	33 1.0×	29	362
Xin Xu	119 0.6×	164 1.0×	47 1.2×	18 0.5×	47 1.4×	18	309
Yirui Liu	187 1.0×	43 0.3×	17 0.4×	69 1.8×	26 0.8×	38	366

Countries citing papers authored by Guang Ji

Since Specialization

Citations

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

Fields of papers citing papers by Guang Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Ji

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