Jiancheng Ni

560 citations
38 papers · 404 indexed · h-index 12
Topics
Cancer-related molecular mechanisms research (17 papers)MicroRNA in disease regulation (15 papers)Circular RNAs in diseases (12 papers)
Partner nations
ChinaAustraliaVietnam

In The Last Decade

Jiancheng Ni

33 papers receiving 398 citations

Peers

Jiancheng Ni
Comparison fields: 5 of 65
  • Molecular Biology 277
  • Cancer Research 262
  • Artificial Intelligence 47
  • Computer Networks and Communications 23
  • Computer Vision and Pattern Recognition 22
Replace Xiang Feng with:
Xiang Feng China
Zhen-Hao Guo China
Bingbo Wang China
Aanchal Mongia India
Le Li China
Jihwan Ha South Korea
Guosheng Gu China
Letian Wang China
Byoung-Tak Zhang South Korea
Muhammad Ali Ibrahim Germany
Jiancheng Ni relative to Xiang Feng China Xiang Feng's profile →
Citations per field
00.5×2.6×
Xiang Feng · 1×
Citations per year

Countries citing papers authored by Jiancheng Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jiancheng Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiancheng Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Jiancheng Ni. A scholar is included among the top collaborators of Jiancheng Ni 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 Jiancheng Ni. Jiancheng Ni 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 4
3 0
4 2
5 1
6 3
7 14
8 7
9 2
10 11
11 18
12 38
13 22
14 13
15 24
16
Highly efficient Chinese text classification algorithm of KNN based on Spark framework
3
17 3
18 2
19
Priority strategy of software fault localization
0
20
3GTSM: a novel 3G terminals security model
1

About Jiancheng Ni

Jiancheng Ni is a scholar working on Cancer Research, Software and Information Systems, having authored 38 papers that have together received 404 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (12 papers). The work is most often cited by research in Cancer Research (262 citations), Molecular Biology (277 citations) and Computational Mathematics (2 citations). Jiancheng Ni has collaborated with scholars based in China, Australia and Vietnam. Frequent co-authors include Chun-Hou Zheng, Yutian Wang, Zhen Gao, Junfeng Xia, Yansen Su, Xu Ma, Xiaona Xia, Zhishu Li, Lianyong Qi and Chao Yan. Their work appears in journals such as Bioinformatics, International Journal of Molecular Sciences and IEEE Access.

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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