Hongjian Dou

632 citations
4 papers · 369 indexed · 1 hit paper · h-index 4
Topics
Recommender Systems and Techniques (4 papers)Advanced Graph Neural Networks (2 papers)Image Retrieval and Classification Techniques (1 paper)
Journals
Journal of Computer Science and TechnologyData IntelligenceRare & Special e-Zone (The Hong Kong University of Science and Technology)
Partner nations
ChinaUnited StatesPoland

In The Last Decade

Hongjian Dou

4 papers receiving 354 citations

Hit Papers

Improving Sequential Recommendation with Knowledge-Enhanc...2018202620202023201850100150200250

Peers

Hongjian Dou
Comparison fields: 5 of 37
  • Information Systems 322
  • Artificial Intelligence 310
  • Management Science and Operations Research 62
  • Computer Vision and Pattern Recognition 55
  • Computer Networks and Communications 21
Replace Shuqing Bian with:
Shuqing Bian China
Hyunsouk Cho South Korea
SeongKu Kang South Korea
Shanlei Mu China
Zhichao Feng China
Yukihiro Tagami Japan
Teng Xiao China
Flavian Vasile United States
Hongjian Dou relative to Shuqing Bian China Shuqing Bian's profile →
Citations per field
00.5×
Shuqing Bian · 1×
Citations per year

Countries citing papers authored by Hongjian Dou

Since Specialization
Citations

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

Fields of papers citing papers by Hongjian Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjian Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjian Dou. A scholar is included among the top collaborators of Hongjian Dou 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 Hongjian Dou. Hongjian Dou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 8
2 66
3
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networksbreakdown →
291
4 4

About Hongjian Dou

Hongjian Dou is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 369 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Advanced Graph Neural Networks (2 papers) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Information Systems (322 citations), Artificial Intelligence (310 citations) and Management Science and Operations Research (62 citations). Hongjian Dou has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Ji-Rong Wen, Wayne Xin Zhao, Jin Huang, Edward Yi Chang, Gaole He, Li Liu, Rongjun Tang, Ting Bai, Bo Zheng and Penghui Wei. Their work appears in journals such as Journal of Computer Science and Technology, Data Intelligence and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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