Hong Gao

57 papers receiving 538 citations

Peers

Hong Gao
Comparison fields: 5 of 107
  • Water Science and Technology 84
  • Computer Networks and Communications 110
  • Signal Processing 38
  • Statistical and Nonlinear Physics 41
  • Industrial and Manufacturing Engineering 27
Replace Zhihai Wu with:
Zhihai Wu China
Vikas Kumar India
Sihai Zhang China
Jianning Li China
Yangxi Li China
Yanjiao Wang China
Xiaolin Jia China
Almetwally M. Mostafa Saudi Arabia
Yanjun Yan United States
Hong Gao relative to Zhihai Wu China Zhihai Wu's profile →
Citations per field
00.5×1.5×2.2×
Zhihai Wu · 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-authors

The 25 scholars most cited alongside Hong Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hong Gao Line = papers co-authored together Hong Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200547
2 201342
3 201335
4 200635
5 202435
6 201134
7 200626
8 200722
9 200619
10 201816
11 201814
12 202414
13 200614
14 202112
15 202111
16 201811
17 200410
18 20179
19 20159
20 20069

About Hong Gao

Hong Gao is a scholar working on Computer Networks and Communications, Mechanical Engineering, Information Systems, Signal Processing and Artificial Intelligence, having authored 63 papers that have together received 555 indexed citations. Recurring topics across this work include Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (8 papers), Welding Techniques and Residual Stresses (6 papers), Web Data Mining and Analysis (5 papers), Data Mining Algorithms and Applications (5 papers), Data Quality and Management (4 papers), Graph Theory and Algorithms (4 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Water Science and Technology (84 citations), Computer Networks and Communications (110 citations), Signal Processing (38 citations), Statistical and Nonlinear Physics (41 citations) and Industrial and Manufacturing Engineering (27 citations). Hong Gao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianzhong Li, Hongzhi Wang, Chunqiao Xiao, Ruan Chi, Kun Yang, Zidong Wang, Jianhui Hu, Rui Tian, Suying Yan and Eiji Yoshida. Their work appears in journals such as Knowledge and Information Systems, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Knowledge-Based Systems, IEEE Transactions on Knowledge and Data Engineering and Carbohydrate Polymers.

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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