Jie Cai

3.7k citations
63 papers · 2.6k indexed · 1 hit paper · h-index 17
Topics
Structural Integrity and Reliability Analysis (13 papers)Fatigue and fracture mechanics (8 papers)Cancer-related molecular mechanisms research (7 papers)
Partner nations
ChinaNetherlandsDenmark

In The Last Decade

Jie Cai

60 papers receiving 2.5k citations

Hit Papers

Feature selection in machine learning: A new perspective201820262020202320184008001.2k

Peers

Jie Cai
Comparison fields: 5 of 183
  • Molecular Biology 724
  • Artificial Intelligence 658
  • Mechanical Engineering 348
  • Cancer Research 317
  • Computer Vision and Pattern Recognition 229
Replace Dejun Zhang with:
Dejun Zhang China
Jiawei Luo China
Muhammad Hisyam Lee Malaysia
Yongmin Li United Kingdom
Nan Ye China
Yunqian Ma United States
Ming Yang China
Xudong Wang China
Jianxun Zhang China
Jie Cai relative to Dejun Zhang China Dejun Zhang's profile →
Citations per field
00.5×1.5×
Dejun Zhang · 1×
Citations per year

Countries citing papers authored by Jie Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jie Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Cai. A scholar is included among the top collaborators of Jie Cai 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 Jie Cai. Jie Cai 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 0
3 7
4 1
5 3
6 6
7 31
8 1
9 14
10 8
11 6
12 3
13 5
14 17
15 31
16
A Multigraph Model for Coreference Resolution
14
17
Unrestricted Coreference Resolution via Global Hypergraph Partitioning
14
18 210
19
Evaluation Metrics For End-to-End Coreference Resolution Systems
39
20 86

About Jie Cai

Jie Cai is a scholar working on Metals and Alloys, Cancer Research and Mechanics of Materials, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Structural Integrity and Reliability Analysis (13 papers), Fatigue and fracture mechanics (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Metals and Alloys (60 citations), Cancer Research (317 citations) and Artificial Intelligence (658 citations). Jie Cai has collaborated with scholars based in China, Netherlands and Denmark. Frequent co-authors include Sheng Yang, Jiawei Luo, Shulin Wang, Jiawei Luo, Pingjian Ding, Cheng Liang, Qiu Xiao, Xiaoli Jiang, Gabriël Lodewijks and Michael Strube. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Bioinformatics.

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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