Yu Hao

804 total citations
22 papers, 379 citations indexed

About

Yu Hao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yu Hao has authored 22 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Yu Hao's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Privacy-Preserving Technologies in Data (4 papers). Yu Hao is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Privacy-Preserving Technologies in Data (4 papers). Yu Hao collaborates with scholars based in China, United States and Canada. Yu Hao's co-authors include Minlie Huang, Ming Li, Xiaoyan Zhu, Kunbin Qu, Donald G. Payan, Xiaoyan Zhu, Ming Li, Xiaoyan Zhu, Mingdong Wang and Jun Feng and has published in prestigious journals such as Bioinformatics, Proceedings of the ACM on Programming Languages and Journal of Computer Science and Technology.

In The Last Decade

Yu Hao

21 papers receiving 353 citations

Peers

Yu Hao
Comparison fields: 5 of 46
  • Artificial Intelligence 276
  • Molecular Biology 214
  • Information Systems 37
  • Computational Theory and Mathematics 34
  • Management Science and Operations Research 15
Replace Raúl Giráldez with:
Raúl Giráldez Spain
Maryam Habibi Switzerland
Alberto Díaz Spain
Beatriz Pontes Spain
Lorenza Romano Italy
Longhua Qian China
José M. Castaño United States
Jorma Boberg Finland
Guillaume Blin France
Gilles Bisson France
Raúl Giráldez Spain View profile →
Citations per field, relative to Yu Hao
Yu Hao · 1×
Citations per year, relative to Yu Hao
Yu Hao · 1×

Countries citing papers authored by Yu Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hao. A scholar is included among the top collaborators of Yu 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 Yu Hao. Yu Hao 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
# Work Indexed citations
1 3
2 3
3 1
4 15
5
Knowledge graph embedding by flexible translation
42
6 2
7
Tackling data sparseness in recommendation using social media based topic hierarchy modeling
3
8 5
9 7
10 4
11
Function-Based Question Classification for General QA
17
12 6
13
CLIR model based on a combination of ontology and statistical method
0
14 17
15 26
16 4
17 2
18 65
19
One New Discriminative Training Method for Language Modeling
1
20 154

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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