Huibing Zhang

457 citations
51 papers · 275 indexed · h-index 9
Topics
Online Learning and Analytics (11 papers)Sentiment Analysis and Opinion Mining (7 papers)Recommender Systems and Techniques (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access

In The Last Decade

Huibing Zhang

42 papers receiving 264 citations

Peers

Huibing Zhang
Comparison fields: 5 of 57
  • Artificial Intelligence 147
  • Computer Science Applications 66
  • Information Systems 51
  • Computer Networks and Communications 35
  • Electrical and Electronic Engineering 25
Replace Basma Alharbi with:
Basma Alharbi Saudi Arabia
Saverio Lemma Italy
Sina Shaham United States
Sunita Barve India
Younès El Bouzekri El Idrissi Morocco
Stella Heras Spain
Roberto Yus United States
Junze Han China
Yongheng Deng China
Sanjay Kumar Jain India
Huibing Zhang relative to Basma Alharbi Saudi Arabia Basma Alharbi's profile →
Citations per field
00.5×1.5×2.3×
Basma Alharbi · 1×
Citations per year

Countries citing papers authored by Huibing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Huibing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huibing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Huibing Zhang. A scholar is included among the top collaborators of Huibing Zhang 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 Huibing Zhang. Huibing Zhang 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 0
2 0
3 0
4 1
5 0
6 1
7 19
8 0
9 4
10 2
11 2
12 5
13 8
14 19
15 3
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17 0
18 1
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About Huibing Zhang

Huibing Zhang is a scholar working on Computer Science Applications, Business and International Management and Information Systems, having authored 51 papers that have together received 275 indexed citations. Recurring topics across this work include Online Learning and Analytics (11 papers), Sentiment Analysis and Opinion Mining (7 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Computer Science Applications (66 citations), Artificial Intelligence (147 citations) and Business and International Management (5 citations). Huibing Zhang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Junchao Dong, Zhaoyu Shou, Yunchuan Guo, Yuming Lin, You Li, Liang Chang, Jiaxian Zhu, Yuan Bai, Hua Yuan and Zhengzheng Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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