Longbing Cao

14.3k citations
361 papers · 8.0k · 4 hit papers · h-index 46

Impact in

    • Recommender Systems and Techniques
    • Data Mining Algorithms and Applications
    • Advanced Graph Neural Networks
    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Topic Modeling

Papers in

    • Anomaly Detection Techniques and Applications 36
    • Imbalanced Data Classification Techniques 29
    • Data Stream Mining Techniques 23
    • Topic Modeling 22
    • Data Mining Algorithms and Applications 83
    • Recommender Systems and Techniques 40

Longbing Cao

344 papers receiving 7.7k citations

Longbing Cao's Hit Papers

From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V 2022 · 131 citations
1310+3+6Years since publication100200300

Peers

Longbing Cao
Comparison fields: 5 of 178
  • Information Systems 3.5k
  • Artificial Intelligence 4.4k
  • Signal Processing 911
  • Management Science and Operations Research 909
  • Computer Vision and Pattern Recognition 1.3k
Replace Guangquan Zhang with:
Guangquan Zhang Australia
Xueqi Cheng China
Yong Shi China
Jaideep Srivastava United States
Chengqi Zhang Australia
Quan Z. Sheng Australia
Gerhard Weikum Germany
Yizhou Sun United States
Jiliang Tang United States
Lise Getoor United States
Longbing Cao relative to Guangquan Zhang Australia Guangquan Zhang's profile →
Citations per field
00.5×1.5×
Guangquan Zhang · 1×
Citations per year

Countries citing papers authored by Longbing Cao

Since Specialization
Citations

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

Fields of papers citing papers by Longbing Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 361 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Training deep neural networks on imbalanced data sets
Hit paper breakdown →
2016313
2
A Survey on Session-based Recommender Systems
Hit paper breakdown →
2021299
3 2012224
4 2017195
5 2013181
6 2012173
7 2018168
8
Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci
Hit paper breakdown →
2022139
9
From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V
Hit paper breakdown →
2022131
10 2011117
11 2021115
12 2014104
13 2012103
14 2019102
15 202193
16 201892
17 202087
18 201086
19 201083
20 201678

About Longbing Cao

Longbing Cao is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 361 papers that have together received 8.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (83 papers), Recommender Systems and Techniques (40 papers), Anomaly Detection Techniques and Applications (36 papers), Rough Sets and Fuzzy Logic (32 papers), Imbalanced Data Classification Techniques (29 papers), Stock Market Forecasting Methods (24 papers), Data Stream Mining Techniques (23 papers) and Topic Modeling (22 papers). The work is most often cited by research in Information Systems (3.5k citations), Artificial Intelligence (4.4k citations), Signal Processing (911 citations), Management Science and Operations Research (909 citations) and Computer Vision and Pattern Recognition (1.3k citations). Longbing Cao has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Shoujin Wang, Chengqi Zhang, Philip S. Yu, Liang Hu, Defu Lian, Zhigang Zheng, Yuming Ou, Quan Z. Sheng, Mehmet A. Orgun and Yan Wang. Their work appears in journals such as IEEE Intelligent Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Knowledge and Information Systems.

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.

Explore authors with similar magnitude of impact