Wenpeng Hu

892 citations
27 papers · 438 indexed · h-index 12
Topics
Topic Modeling (13 papers)Natural Language Processing Techniques (7 papers)Domain Adaptation and Few-Shot Learning (7 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Wenpeng Hu

23 papers receiving 426 citations

Peers

Wenpeng Hu
Comparison fields: 5 of 58
  • Artificial Intelligence 390
  • Computer Vision and Pattern Recognition 125
  • Information Systems 56
  • Radiology, Nuclear Medicine and Imaging 16
  • Computer Networks and Communications 12
Replace Segev Shlomov with:
Segev Shlomov Israel
Junyi Li China
Wangchunshu Zhou China
Nizar Ahmed Jordan
Ryuichi Takanobu China
Rotem Dror Israel
Ferhan Türe United States
Maxime Peyrard Germany
Wenpeng Hu relative to Segev Shlomov Israel Segev Shlomov's profile →
Citations per field
00.5×2.7×
Segev Shlomov · 1×
Citations per year

Countries citing papers authored by Wenpeng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wenpeng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenpeng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenpeng Hu. A scholar is included among the top collaborators of Wenpeng Hu 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 Wenpeng Hu. Wenpeng Hu 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 1
3 0
4 3
5 0
6 0
7 4
8
BNS: Building Network Structures Dynamically for Continual Learning
16
9 19
10
HRN: A Holistic Approach to One Class Learning
16
11 2
12 9
13
OVERCOMING CATASTROPHIC FORGETTING FOR CONTINUAL LEARNING VIA MODEL ADAPTATION
36
14 29
15 27
16 83
17 79
18
Aspect-based Question Generation
11
19
Topic-Based Question Generation
1
20
Different Contexts Lead to Different Word Embeddings
5

About Wenpeng Hu

Wenpeng Hu is a scholar working on Artificial Intelligence, Toxicology and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 438 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Artificial Intelligence (390 citations), Computer Vision and Pattern Recognition (125 citations) and Information Systems (56 citations). Wenpeng Hu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Dongyan Zhao, Rui Yan, Chongyang Tao, Wei Wu, Can Xu, Bing Liu, Jinwen Ma, Bing Liu, Mengyu Wang and Bing Liu. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Expert Systems with Applications.

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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