E Haihong

161 total papers · 1.7k total citations
88 papers, 878 citations indexed

About

E Haihong is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, E Haihong has authored 88 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Information Systems, 40 papers in Artificial Intelligence and 30 papers in Computer Networks and Communications. Recurrent topics in E Haihong's work include Topic Modeling (23 papers), Recommender Systems and Techniques (18 papers) and Cloud Computing and Resource Management (16 papers). E Haihong is often cited by papers focused on Topic Modeling (23 papers), Recommender Systems and Techniques (18 papers) and Cloud Computing and Resource Management (16 papers). E Haihong collaborates with scholars based in China and United States. E Haihong's co-authors include Meina Song, Jian Du, Le Guan, Jing Han, Junde Song, Zhonghong Ou, Meina Song, Qingchuan Wang, Xuejun Zhao and Qingyang Liu and has published in prestigious journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

E Haihong

74 papers receiving 809 citations

Hit Papers

Survey on NoSQL database 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Survey on NoSQL database
    2011 362 citations Jing Han, E Haihong et al. profile →

Author Peers

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

Author Last Decade Papers Cites
E Haihong 490 348 303 127 95 88 878
Yong Zhang 414 0.8× 209 0.6× 441 1.5× 151 1.2× 154 1.6× 110 998
Spyros Sioutas 306 0.6× 335 1.0× 370 1.2× 147 1.2× 129 1.4× 127 1.1k
Eva Onaindía 314 0.6× 148 0.4× 441 1.5× 113 0.9× 68 0.7× 92 929
Christos Makris 400 0.8× 237 0.7× 408 1.3× 112 0.9× 149 1.6× 122 1.1k
Freddy Lécué 399 0.8× 218 0.6× 626 2.1× 205 1.6× 72 0.8× 70 1.1k
Meina Song 431 0.9× 243 0.7× 305 1.0× 147 1.2× 33 0.3× 126 795
Lorcan Coyle 363 0.7× 255 0.7× 402 1.3× 320 2.5× 113 1.2× 43 930
San‐Yih Hwang 672 1.4× 401 1.2× 366 1.2× 64 0.5× 104 1.1× 66 957
Elisa Quintarelli 302 0.6× 308 0.9× 266 0.9× 283 2.2× 187 2.0× 67 740
Wenmin Lin 398 0.8× 443 1.3× 250 0.8× 97 0.8× 64 0.7× 34 848

Countries citing papers authored by E Haihong

Since Specialization
Citations

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

Fields of papers citing papers by E Haihong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Haihong

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