Mingbin Xu

407 citations
16 papers · 248 · h-index 7

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Speech Recognition and Synthesis
    • Data Management and Algorithms

Papers in

Mingbin Xu

16 papers receiving 220 citations

Peers

Mingbin Xu
Comparison fields: 5 of 61
  • Artificial Intelligence 170
  • Signal Processing 35
  • Management Science and Operations Research 29
  • Computer Networks and Communications 31
  • Information Systems 29
Replace Jinhua Du with:
Jinhua Du Ireland
Karell Bertet France
Tongfei Chen United States
Ondřej Kuželka Czechia
Floréal Morandat France
Zewen Chi China
Antoine Amarilli France
Mouhamadou Ba France
Stefania Dumbrava France
Junichi Fukumoto Japan
Mingbin Xu relative to Jinhua Du Ireland Jinhua Du's profile →
Citations per field
00.5×
Jinhua Du · 1×
Citations per year

Countries citing papers authored by Mingbin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Mingbin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201797
2 201537
3
Cardinality estimation using neural networks
201528
4 201522
5 201817
6 20239
7
The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 2016.
20167
8 20176
9
FOFE-based Deep Neural Networks for Entity Discovery and Linking.
20175
10 20195
11 20234
12 20244
13 20243
14 20252
15 20241
16 20181

About Mingbin Xu

Mingbin Xu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Pulmonary and Respiratory Medicine and Information Systems, having authored 16 papers that have together received 248 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Web Data Mining and Analysis (1 paper), Advanced Database Systems and Queries (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Artificial Intelligence (170 citations), Signal Processing (35 citations), Management Science and Operations Research (29 citations), Computer Networks and Communications (31 citations) and Information Systems (29 citations). Mingbin Xu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Hui Jiang, Shiliang Zhang, Li-Rong Dai, Junfeng Hou, Henry Liu, Calisto Zuzarte, Jianyin Miao, Hang Xiao, Lei Qin and Xiangyang Gao. Their work appears in journals such as Theory and applications of categories, Kidney & Blood Pressure Research, Journal of Functional Foods and Medicine.

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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