E Haihong

1.8k total citations · 1 hit paper
92 papers, 882 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 92 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Information Systems, 40 papers in Artificial Intelligence and 31 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, Jing Han, Le Guan, Jian Du, Junde Song, Zhonghong Ou, Meina Song, Xuejun Zhao, Qingchuan Wang 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 814 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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Survey on NoSQL database
    2011 363 citations E Haihong et al. profile →

Peers

E Haihong
Josiane Xavier Parreira Germany
Freddy Lécué United Kingdom
Zengxiang Li Singapore
Meina Song China
Elisa Quintarelli Italy
Danh Le-Phuoc Germany
Chunqiu Zeng United States
Jianling Sun China
Kun Yue China
Wenmin Lin China
Josiane Xavier Parreira Germany
E Haihong
Citations per year, relative to E Haihong E Haihong (= 1×) peers Josiane Xavier Parreira

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

20 of 20 papers shown
1.
Zhang, Jun, et al.. (2025). A paper mill detection model based on citation manipulation paradigm. Journal of Data and Information Science. 10(1). 167–187.
2.
Haihong, E, et al.. (2025). Leveraging Large Language Model for Enhanced Text-to-SQL Parsing. IEEE Access. 13. 30497–30504. 2 indexed citations
3.
Zhang, Ruru, E Haihong, Lifei Yuan, et al.. (2024). FGM-SPCL: Open-Set Recognition Network for Medical Images Based on Fine-Grained Data Mixture and Spatial Position Constraint Loss. Chinese Journal of Electronics. 33(4). 1023–1033.
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Haihong, E, et al.. (2024). Intradialytic Hypotension Frequency Prediction Using Generalizable Neighborhood Reasoning on Temporal Patient Knowledge Graph. IEEE Journal of Biomedical and Health Informatics. 29(3). 2233–2245.
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Luo, Haoran, E Haihong, Zichen Tang, et al.. (2024). ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. 2039–2056. 23 indexed citations
8.
Luo, Haoran, et al.. (2023). NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4543–4551.
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Luo, Haoran, et al.. (2023). DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6467–6474. 6 indexed citations
13.
Luo, Haoran, et al.. (2023). HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level. 8095–8107. 5 indexed citations
14.
Haihong, E, et al.. (2022). Research on early warning of renal damage in hypertensive patients based on the stacking strategy. BMC Medical Informatics and Decision Making. 22(1). 212–212. 2 indexed citations
15.
Haihong, E, et al.. (2022). Clinical decision support system for hypertension medication based on knowledge graph. Computer Methods and Programs in Biomedicine. 227. 107220–107220. 18 indexed citations
16.
Haihong, E, Rui Cheng, Meina Song, Peican Zhu, & Zhen Wang. (2020). A Joint Embedding Method of Relations and Attributes for Entity Alignment. International Journal of Machine Learning and Computing. 10(5). 605–611. 3 indexed citations
17.
Haihong, E, et al.. (2019). A Text-Generated Method to Joint Extraction of Entities and Relations. Applied Sciences. 9(18). 3795–3795. 7 indexed citations
18.
Haihong, E, Yi-min Lin, Meina Song, Xiangyu Xu, & Chengcheng Zhang. (2019). A Distributed Visualization Service Composition System. International Journal of Computer Theory and Engineering. 11(4). 66–71.
19.
Haihong, E, et al.. (2018). Multi-prediction based scheduling for hybrid workloads in the cloud data center. Cluster Computing. 21(3). 1607–1622. 6 indexed citations
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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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