Zhu Xiang

105 total papers · 878 total citations
40 papers, 661 citations indexed

About

Zhu Xiang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Zhu Xiang has authored 40 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in Zhu Xiang's work include Energy Load and Power Forecasting (4 papers), Radiation Effects in Electronics (3 papers) and Remote-Sensing Image Classification (3 papers). Zhu Xiang is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Radiation Effects in Electronics (3 papers) and Remote-Sensing Image Classification (3 papers). Zhu Xiang collaborates with scholars based in China, United States and Australia. Zhu Xiang's co-authors include Xiao Ouyang, Qingyun He, Qinglong Shao, Chao Xiang, Guoen Wei, Jingzhi Li, Yan Jia, Lisha Tang, Bin Zhou and Clem Tisdell and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Biophysical Journal.

In The Last Decade

Zhu Xiang

39 papers receiving 639 citations

Author Peers

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

Author						Papers	Cites
Zhu Xiang	219	177	110	107	99	40	661
Zhaoyang Liu	153 0.7×	98 0.6×	50 0.5×	53 0.5×	38 0.4×	37	617
Wei Liu	113 0.5×	387 2.2×	74 0.7×	31 0.3×	178 1.8×	40	765
Christa Brelsford	110 0.5×	277 1.6×	102 0.9×	28 0.3×	26 0.3×	29	760
Hengji Li	215 1.0×	154 0.9×	169 1.5×	68 0.6×	91 0.9×	43	705
Yun Luo	70 0.3×	118 0.7×	20 0.2×	61 0.6×	23 0.2×	40	741
Ji Luo	220 1.0×	88 0.5×	72 0.7×	32 0.3×	45 0.5×	36	707
Jay Lee	301 1.4×	139 0.8×	98 0.9×	26 0.2×	44 0.4×	26	777
N. Ross Lambie	142 0.6×	197 1.1×	83 0.8×	35 0.3×	57 0.6×	106	745
Mughair Aslam Bhatti	64 0.3×	62 0.4×	82 0.7×	78 0.7×	35 0.4×	28	600
Huang Huang	65 0.3×	83 0.5×	103 0.9×	77 0.7×	50 0.5×	51	653

Countries citing papers authored by Zhu Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Zhu Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu Xiang

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