Yanan Hao

518 citations
22 papers · 369 · h-index 11

Impact in

Papers in

Yanan Hao

21 papers receiving 359 citations

Peers

Yanan Hao
Comparison fields: 5 of 87
  • Animal Science and Zoology 70
  • Food Science 97
  • Information Systems 88
  • Molecular Medicine 14
  • Computer Networks and Communications 47
Replace Huanhuan Yin with:
Huanhuan Yin China
Zhihua Li China
Gaurav Tewari India
Shivam Priya India
Zhaohui Luo United Kingdom
Liu Ying China
Zhiyu Shi China
Henning Christiansen Denmark
Yanfei Xu China
Yanan Hao relative to Huanhuan Yin China Huanhuan Yin's profile →
Citations per field
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Huanhuan Yin · 1×
Citations per year

Countries citing papers authored by Yanan Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanan Hao, 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 Yanan Hao Line = papers co-authored together Yanan Hao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022109
2 201047
3 202334
4
Web services discovery based on schema matching
200732
5 201824
6 202318
7 202317
8 202215
9 201214
10 202313
11 201810
12 20248
13 20228
14 20228
15 20053
16 20242
17 20242
18
A two-phase rule generation and optimization approach for wrapper generation
20062
19 20231
20 20251

About Yanan Hao

Yanan Hao is a scholar working on Information Systems, Computer Networks and Communications, Pharmaceutical Science, Molecular Medicine and Surgery, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Service-Oriented Architecture and Web Services (3 papers), Hydrogels: synthesis, properties, applications (3 papers), Advanced Drug Delivery Systems (3 papers), Advanced Database Systems and Queries (2 papers), Liver physiology and pathology (2 papers), Semantic Web and Ontologies (2 papers) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Animal Science and Zoology (70 citations), Food Science (97 citations), Information Systems (88 citations), Molecular Medicine (14 citations) and Computer Networks and Communications (47 citations). Yanan Hao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanchun Zhang, Xiangzhao Mao, Jinli Cao, Zhaohui Chen, Jiao Li, Zechuan Dai, Sai Wang, Wen‐Can Huang, Changhu Xue and Wei Wang. Their work appears in journals such as eLife, Food Hydrocolloids, Materials Letters, Journal of Food Engineering and Analytical Chemistry.

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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