Haicheng Wu

52 total papers · 833 total citations
32 papers, 552 citations indexed

About

Haicheng Wu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Haicheng Wu has authored 32 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Haicheng Wu's work include Laser-Plasma Interactions and Diagnostics (8 papers), Advanced Database Systems and Queries (8 papers) and Data Management and Algorithms (8 papers). Haicheng Wu is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (8 papers), Advanced Database Systems and Queries (8 papers) and Data Management and Algorithms (8 papers). Haicheng Wu collaborates with scholars based in United States, China and Germany. Haicheng Wu's co-authors include Gregory Diamos, Sudhakar Yalamanchili, Srihari Cadambi, Nathan Clark, Bai-Song Xie, Jin Wang, Molham Aref, Xue-Ren Hong, Michael Garland and Tim Sheard and has published in prestigious journals such as Physics of Plasmas, The International Journal of High Performance Computing Applications and Communications in Theoretical Physics.

In The Last Decade

Haicheng Wu

32 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Haicheng Wu	369	281	163	95	86	32	552
John E. Dorband	243 0.7×	155 0.6×	67 0.4×	15 0.2×	75 0.9×	39	547
Ralph Butler	390 1.1×	365 1.3×	71 0.4×	77 0.8×	13 0.2×	33	606
Shuping Zhang	342 0.9×	163 0.6×	48 0.3×	8 0.1×	73 0.8×	29	595
G.R. Montry	202 0.5×	202 0.7×	23 0.1×	55 0.6×	18 0.2×	19	504
Katie Antypas	282 0.8×	133 0.5×	108 0.7×	70 0.7×	7 0.1×	19	542
Aparna Chandramowlishwaran	239 0.6×	253 0.9×	57 0.3×	5 0.1×	39 0.5×	38	613
Kevin Huck	364 1.0×	297 1.1×	157 1.0×	16 0.2×	16 0.2×	56	452
Ivy Peng	224 0.6×	187 0.7×	95 0.6×	81 0.9×	22 0.3×	60	603
D. Hwang	47 0.1×	54 0.2×	23 0.1×	264 2.8×	44 0.5×	25	502
Amin Farmahini-Farahani	261 0.7×	267 1.0×	40 0.2×	27 0.3×	67 0.8×	27	526

Countries citing papers authored by Haicheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haicheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haicheng Wu

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