Xia Ning

95 papers receiving 1.6k citations

Hit Papers

FISM 2013 · 436 citations
4362011202620162021100200300400

Peers

Xia Ning
Comparison fields: 5 of 139
  • Information Systems 977
  • Management Science and Operations Research 284
  • Artificial Intelligence 726
  • Toxicology 57
  • Computer Vision and Pattern Recognition 316
Replace Jianying Hu with:
Jianying Hu United States
Jianhua Gu China
Bart Goethals Belgium
Donghyeon Kim South Korea
Kira Radinsky Israel
Ricardo B. C. Prudêncio Brazil
Buzhou Tang China
Jianling Wang United States
Carlo Combi Italy
Wonjin Yoon South Korea
Xia Ning relative to Jianying Hu United States Jianying Hu's profile →
Citations per field
00.5×6.3×
Jianying Hu · 1×
Citations per year

Countries citing papers authored by Xia Ning

Since Specialization
Citations

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

Fields of papers citing papers by Xia Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SLIM: Sparse Linear Methods for Top-N Recommender Systems
Hit paper breakdown →
2011438
2
FISM
Hit paper breakdown →
2013436
3 201264
4 202155
5 201834
6 200932
7 201830
8 202126
9 201224
10 201723
11
Preliminary evaluation of the Chest Pain Dashboard, a FHIR-based approach for integrating health information exchange information directly into the clinical workflow.
201922
12 202321
13 201121
14
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences
201521
15 202120
16 202017
17 202216
18
Multi-task learning for recommender systems
201014
19
Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.
201913
20 201913

About Xia Ning

Xia Ning is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Recommender Systems and Techniques (18 papers), Biomedical Text Mining and Ontologies (12 papers), Pharmacovigilance and Adverse Drug Reactions (10 papers), Machine Learning in Materials Science (8 papers), Machine Learning in Healthcare (7 papers), Advanced Bandit Algorithms Research (7 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Information Systems (977 citations), Management Science and Operations Research (284 citations), Artificial Intelligence (726 citations), Toxicology (57 citations) and Computer Vision and Pattern Recognition (316 citations). Xia Ning has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include George Karypis, Ziqi Chen, Srinivasan Parthasarathy, Huzefa Rangwala, Martin Renqiang Min, Zhiyun Ren, Bo Peng, Li Shen, Lang Li and Pengyue Zhang. Their work appears in journals such as Journal of Chemical Information and Modeling, BMC Medical Informatics and Decision Making, IEEE Transactions on Knowledge and Data Engineering, Arabian Journal of Chemistry and Nature Machine Intelligence.

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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