Daihong Gu

34 total papers · 404 total citations
28 papers, 339 citations indexed

About

Daihong Gu is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Daihong Gu has authored 28 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ocean Engineering, 23 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Daihong Gu's work include Hydraulic Fracturing and Reservoir Analysis (22 papers), Hydrocarbon exploration and reservoir analysis (18 papers) and Enhanced Oil Recovery Techniques (10 papers). Daihong Gu is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (22 papers), Hydrocarbon exploration and reservoir analysis (18 papers) and Enhanced Oil Recovery Techniques (10 papers). Daihong Gu collaborates with scholars based in China, Canada and Netherlands. Daihong Gu's co-authors include Daoyong Yang, Leng Tian, Guangfeng Liu, Cong Xiao, Zhan Meng, Lu Yang, Mingjin Liu, Jianning Wang, Xianglong Li and Shunli He and has published in prestigious journals such as Fuel, Industrial & Engineering Chemistry Research and AAPG Bulletin.

In The Last Decade

Daihong Gu

26 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Daihong Gu	265	264	189	53	32	28	339
Wei Wang	253 1.0×	235 0.9×	200 1.1×	64 1.2×	47 1.5×	48	385
Guanglong Sheng	250 0.9×	259 1.0×	182 1.0×	34 0.6×	44 1.4×	23	340
Mohammad Rasheed Khan	247 0.9×	290 1.1×	120 0.6×	45 0.8×	31 1.0×	46	379
Leonard Koederitz	238 0.9×	283 1.1×	164 0.9×	78 1.5×	21 0.7×	21	352
Matt M. Honarpour	267 1.0×	301 1.1×	198 1.0×	87 1.6×	42 1.3×	12	377
Creties Jenkins	294 1.1×	305 1.2×	182 1.0×	47 0.9×	66 2.1×	16	400
Peiqing Lian	236 0.9×	264 1.0×	191 1.0×	68 1.3×	40 1.3×	27	366
James McLean Somerville	249 0.9×	264 1.0×	142 0.8×	66 1.2×	64 2.0×	32	369
Zhengwu Tao	180 0.7×	219 0.8×	169 0.9×	47 0.9×	27 0.8×	27	330
Changan Du	284 1.1×	293 1.1×	142 0.8×	58 1.1×	81 2.5×	18	392

Countries citing papers authored by Daihong Gu

Since Specialization

Citations

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

Fields of papers citing papers by Daihong Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daihong Gu

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