Hong Gao

4.2k citations
208 papers · 2.6k indexed · h-index 27
Topics
Data Management and Algorithms (61 papers)Energy Efficient Wireless Sensor Networks (41 papers)Advanced Database Systems and Queries (35 papers)

In The Last Decade

Hong Gao

189 papers receiving 2.6k citations

Peers

Hong Gao
Comparison fields: 5 of 112
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 745
  • Electrical and Electronic Engineering 670
  • Information Systems 594
  • Signal Processing 576
Replace Guisheng Yin with:
Guisheng Yin China
Dongxiao Yu China
Mudhakar Srivatsa United States
Lei Wang China
Changqiao Xu China
Sharad Agarwal United States
Nalini Venkatasubramanian United States
Dapeng Wu China
Shojiro Nishio Japan
Liang Zhou China
Hong Gao relative to Guisheng Yin China Guisheng Yin's profile →
Citations per field
00.5×2.8×
Guisheng Yin · 1×
Citations per year

Countries citing papers authored by Hong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Gao. A scholar is included among the top collaborators of Hong Gao 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 Hong Gao. Hong Gao 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
#WorkIndexed citations
1 1
2 2
3 9
4 12
5 3
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7 8
8 15
9 11
10 17
11 6
12 16
13 13
14 33
15 21
16 18
17 47
18 15
19
Enabling epsilon-Approximate Querying in Sensor Networks.
4
20
Designer Support for Online Collaboration and Knowledge Construction
16

About Hong Gao

Hong Gao is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 208 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (61 papers), Energy Efficient Wireless Sensor Networks (41 papers) and Advanced Database Systems and Queries (35 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Signal Processing (576 citations) and Information Systems (594 citations). Hong Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianzhong Li, Zhipeng Cai, Zhaonian Zou, Hongzhi Wang, Siyao Cheng, Quan Chen, Xu Zheng, Yingshu Li, Xixian Han and Jinbao Wang. Their work appears in journals such as Communications of the ACM, Materials Science and Engineering A and Expert Systems with Applications.

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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