Chengxi Li

1.1k citations
56 papers · 593 · 1 hit paper · h-index 13

Impact in

Papers in

Chengxi Li

46 papers receiving 584 citations

Chengxi Li's Hit Papers

Leveraging error-assisted fine-tuning large language models for manufacturing excellence 2024 · 54 citations
540+1Years since publication1020304050

Peers

Chengxi Li
Comparison fields: 5 of 87
  • Biotechnology 74
  • Artificial Intelligence 210
  • Computer Networks and Communications 86
  • Biomedical Engineering 158
  • Industrial and Manufacturing Engineering 30
Replace Živana Jakovljević with:
Živana Jakovljević Serbia
Bin Xing China
Prashant Singh Sweden
Yunhao Liu China
Wook-Dong Kim South Korea
Chen Qiao China
Yimin Yang China
Yanpei Chen China
Qiong Dai China
Injung Kim South Korea
Chengxi Li relative to Živana Jakovljević Serbia Živana Jakovljević's profile →
Citations per field
00.5×3.9×
Živana Jakovljević · 1×
Citations per year

Countries citing papers authored by Chengxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Chengxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 202164
3 201661
4
Leveraging error-assisted fine-tuning large language models for manufacturing excellence
Hit paper breakdown →
202454
5 201740
6 201933
7 201929
8 201224
9 202021
10 202319
11 202018
12 201815
13 201915
14
DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis.
202110
15 20248
16 20198
17 20247
18 20237
19 20227
20 20207

About Chengxi Li

Chengxi Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology and Computational Mechanics, having authored 56 papers that have together received 593 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (10 papers), Sparse and Compressive Sensing Techniques (9 papers), Privacy-Preserving Technologies in Data (7 papers), Biofuel production and bioconversion (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Stochastic Gradient Optimization Techniques (5 papers), Fungal and yeast genetics research (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Biotechnology (74 citations), Artificial Intelligence (210 citations), Computer Networks and Communications (86 citations), Biomedical Engineering (158 citations) and Industrial and Manufacturing Engineering (30 citations). Chengxi Li has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Pramod K. Varshney, Gang Li, Shuai Zhao, Jia‐Xun Feng, Lusheng Liao, Yu-Si Yan, Pai Zheng, Liqiao Xia, Xuemei Luo and Shimin Liu. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Internet of Things Journal, Biotechnology for Biofuels, IEEE Signal Processing Letters and IEEE Transactions on Geoscience and Remote Sensing.

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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