Fang Hao

14 total papers · 1.2k total citations
11 papers, 903 citations indexed

About

Fang Hao is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fang Hao has authored 11 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Fang Hao's work include Software-Defined Networks and 5G (6 papers), Network Traffic and Congestion Control (3 papers) and Caching and Content Delivery (3 papers). Fang Hao is often cited by papers focused on Software-Defined Networks and 5G (6 papers), Network Traffic and Congestion Control (3 papers) and Caching and Content Delivery (3 papers). Fang Hao collaborates with scholars based in United States and Germany. Fang Hao's co-authors include T. V. Lakshman, Sarit Mukherjee, Ramana Rao Kompella, Advait Dixit, Murali Kodialam, Moritz Steiner, Vijay Kumar Adhikari, Zhi-Li Zhang, Volker Hilt and Matteo Varvello and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, ACM SIGMETRICS Performance Evaluation Review and SMARTech Repository (Georgia Institute of Technology).

In The Last Decade

Fang Hao

11 papers receiving 866 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Fang Hao	848	291	221	151	89	11	903
Mohammad Hajjat	640 0.8×	188 0.6×	390 1.8×	70 0.5×	156 1.8×	11	846
Mohammad Goudarzi	686 0.8×	242 0.8×	368 1.7×	149 1.0×	77 0.9×	18	776
Jinliang Xu	686 0.8×	206 0.7×	359 1.6×	100 0.7×	128 1.4×	14	842
E. Guttman	802 0.9×	483 1.7×	178 0.8×	121 0.8×	71 0.8×	13	869
Todd D. Hodes	722 0.9×	175 0.6×	240 1.1×	236 1.6×	78 0.9×	14	845
Haobo Yu	840 1.0×	192 0.7×	67 0.3×	115 0.8×	55 0.6×	9	1.0k
Monique Morrow	559 0.7×	161 0.6×	323 1.5×	58 0.4×	68 0.8×	16	727
Behrouz Pourghebleh	762 0.9×	200 0.7×	439 2.0×	69 0.5×	194 2.2×	14	973
Xiang Cheng	548 0.6×	263 0.9×	277 1.3×	72 0.5×	341 3.8×	17	852
Subharthi Paul	932 1.1×	342 1.2×	194 0.9×	45 0.3×	82 0.9×	26	1.0k

Countries citing papers authored by Fang Hao

Since Specialization

Citations

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

Fields of papers citing papers by Fang Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Hao

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