Gang Jing

100 total papers · 542 total citations
52 papers, 338 citations indexed

About

Gang Jing is a scholar working on Electrical and Electronic Engineering, Building and Construction and Computer Networks and Communications. According to data from OpenAlex, Gang Jing has authored 52 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 11 papers in Building and Construction and 10 papers in Computer Networks and Communications. Recurrent topics in Gang Jing's work include Building Energy and Comfort Optimization (10 papers), Wind and Air Flow Studies (5 papers) and Electric Motor Design and Analysis (4 papers). Gang Jing is often cited by papers focused on Building Energy and Comfort Optimization (10 papers), Wind and Air Flow Studies (5 papers) and Electric Motor Design and Analysis (4 papers). Gang Jing collaborates with scholars based in China, Singapore and United States. Gang Jing's co-authors include Can Cui, Wenjian Cai, Xin Zhang, Xiaohong Yin, Wenjian Cai, Deqing Zhai, Wendong Gai, Jing Zhang, Yakun Liu and Shuai Liu and has published in prestigious journals such as Langmuir, IEEE Transactions on Industrial Electronics and ACS Applied Materials & Interfaces.

In The Last Decade

Gang Jing

45 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Gang Jing	158	101	95	73	57	52	338
B. Terry Beck	82 0.5×	170 1.7×	33 0.3×	34 0.5×	16 0.3×	62	391
Ali Mehmani	103 0.7×	28 0.3×	46 0.5×	25 0.3×	121 2.1×	31	389
Jianrong Yang	126 0.8×	87 0.9×	119 1.3×	88 1.2×	63 1.1×	31	356
Chao Qin	131 0.8×	22 0.2×	133 1.4×	133 1.8×	48 0.8×	37	328
Lu Li	121 0.8×	31 0.3×	125 1.3×	25 0.3×	24 0.4×	32	300
Nan Jiang	50 0.3×	95 0.9×	54 0.6×	43 0.6×	19 0.3×	48	307
Florin-Emilian Țurcanu	44 0.3×	52 0.5×	33 0.3×	41 0.6×	55 1.0×	35	317
Anders Gustafsson	83 0.5×	87 0.9×	13 0.1×	47 0.6×	38 0.7×	39	391
Haoran Chen	135 0.9×	252 2.5×	92 1.0×	49 0.7×	33 0.6×	24	383
Mark Seymour	74 0.5×	230 2.3×	30 0.3×	23 0.3×	65 1.1×	41	369

Countries citing papers authored by Gang Jing

Since Specialization

Citations

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

Fields of papers citing papers by Gang Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Jing

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