Ruiming Fang

69 total papers · 787 total citations
38 papers, 580 citations indexed

About

Ruiming Fang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Ruiming Fang has authored 38 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 17 papers in Control and Systems Engineering and 8 papers in Energy Engineering and Power Technology. Recurrent topics in Ruiming Fang's work include Machine Fault Diagnosis Techniques (10 papers), Energy Load and Power Forecasting (5 papers) and High-Voltage Power Transmission Systems (5 papers). Ruiming Fang is often cited by papers focused on Machine Fault Diagnosis Techniques (10 papers), Energy Load and Power Forecasting (5 papers) and High-Voltage Power Transmission Systems (5 papers). Ruiming Fang collaborates with scholars based in China, Singapore and Hong Kong. Ruiming Fang's co-authors include Liang Yin, Xinhua Guo, Shijie Song, Li Wang, Yandong Wang, Shuming Zhang, W. N. Fu, Zhongshen Li, Ping Ju and Ronghui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and International Journal of Hydrogen Energy.

In The Last Decade

Ruiming Fang

32 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Ruiming Fang	316	245	176	79	68	38	580
Andrew Ragai Henry Rigit	288 0.9×	157 0.6×	69 0.4×	63 0.8×	110 1.6×	52	676
Dana-Alexandra Ciupăgeanu	398 1.3×	198 0.8×	257 1.5×	150 1.9×	76 1.1×	40	645
Al-Khalid Othman	327 1.0×	202 0.8×	88 0.5×	87 1.1×	149 2.2×	55	668
Jinyu Xiao	343 1.1×	130 0.5×	81 0.5×	40 0.5×	43 0.6×	26	609
Tuğçe Demirdelen	356 1.1×	73 0.3×	125 0.7×	36 0.5×	53 0.8×	56	610
Md Rasel Sarkar	375 1.2×	112 0.5×	224 1.3×	103 1.3×	31 0.5×	23	536
A. G. Dutton	179 0.6×	130 0.5×	113 0.6×	74 0.9×	51 0.8×	27	643
Ayse Selin Kocaman	419 1.3×	179 0.7×	164 0.9×	41 0.5×	165 2.4×	28	617
Miguel de Simón‐Martín	332 1.1×	116 0.5×	153 0.9×	70 0.9×	151 2.2×	43	665
Bora Alboyacı	388 1.2×	111 0.5×	212 1.2×	48 0.6×	74 1.1×	45	651

Countries citing papers authored by Ruiming Fang

Since Specialization

Citations

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

Fields of papers citing papers by Ruiming Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiming Fang

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