Haochen Shi

654 citations
32 papers · 258 · h-index 9

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications
    • Human Pose and Action Recognition
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

Haochen Shi

28 papers receiving 251 citations

Peers

Haochen Shi
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 132
  • Artificial Intelligence 88
  • Control and Systems Engineering 28
  • Media Technology 10
  • Aerospace Engineering 25
Replace Guanzhong Tian with:
Guanzhong Tian China
Xiaoguang Di China
Hao Kang United States
Bo Fu China
Xiaoyu Chen China
Taehyeon Kim South Korea
Guo Ye China
Xuesen Zhang China
Jiafei Duan United States
Fereshteh Falah Chamasemani Austria
Haochen Shi relative to Guanzhong Tian China Guanzhong Tian's profile →
Citations per field
00.5×
Guanzhong Tian · 1×
Citations per year

Countries citing papers authored by Haochen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Haochen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202437
2 201836
3 202133
4 202121
5 202120
6 202218
7 202115
8 202110
9 20189
10 20258
11 20227
12 20226
13 20244
14 20204
15 20244
16 20194
17 20224
18 20194
19 20243
20 20232

About Haochen Shi

Haochen Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Materials Chemistry, Electronic, Optical and Magnetic Materials and Information Systems, having authored 32 papers that have together received 258 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advancements in Solid Oxide Fuel Cells (6 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Topic Modeling (5 papers), Magnetic and transport properties of perovskites and related materials (4 papers) and Electronic and Structural Properties of Oxides (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Artificial Intelligence (88 citations), Control and Systems Engineering (28 citations), Media Technology (10 citations) and Aerospace Engineering (25 citations). Haochen Shi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Siliang Tang, Yueting Zhuang, Huiyu Zhou, Ning Li, Chao Xiang, Wenqiao Zhang, Zhi Xu, C. Karen Liu, Jun Xiao and Weizhuo Wang. Their work appears in journals such as Solid State Ionics, Frontiers of Computer Science, Ceramics International, Knowledge-Based Systems and Journal of Electroanalytical 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.

Explore authors with similar magnitude of impact