Jiacheng Yang

1.4k total citations
23 papers, 682 citations indexed

About

Jiacheng Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiacheng Yang has authored 23 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Jiacheng Yang's work include Ferroelectric and Negative Capacitance Devices (3 papers), Topic Modeling (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Jiacheng Yang is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (3 papers), Topic Modeling (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Jiacheng Yang collaborates with scholars based in China, United States and Canada. Jiacheng Yang's co-authors include Haixun Wang, Zhongyuan Wang, Song Han, Bin Shao, Kai Zeng, Hanrui Wang, Nan Sun, Hae-Seung Lee, Linxiao Shen and Kuan Wang and has published in prestigious journals such as Information Sciences, Neural Networks and Ceramics International.

In The Last Decade

Jiacheng Yang

19 papers receiving 660 citations

Peers

Jiacheng Yang
Comparison fields: 5 of 67
  • Artificial Intelligence 368
  • Computer Vision and Pattern Recognition 213
  • Computer Networks and Communications 183
  • Electrical and Electronic Engineering 176
  • Information Systems 87
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Seung–Hwan Lim United States View profile →
Citations per field, relative to Jiacheng Yang
Jiacheng Yang · 1×
Citations per year, relative to Jiacheng Yang
Jiacheng Yang · 1×

Countries citing papers authored by Jiacheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiacheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiacheng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiacheng Yang. A scholar is included among the top collaborators of Jiacheng Yang 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 Jiacheng Yang. Jiacheng Yang 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
# Work Indexed citations
1 1
2 0
3 1
4 0
5 1
6 0
7 1
8 0
9 6
10 198
11 17
12 21
13
Park: An Open Platform for Learning-Augmented Computer Systems
39
14 1
15
UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble.
1
16
Path-Level Network Transformation for Efficient Architecture Search.
27
17 87
18 15
19 181
20 8

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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