Weifeng Su

678 citations
40 papers · 358 · h-index 13

Impact in

Papers in

    • Topic Modeling 6
    • Natural Language Processing Techniques 5
    • Advanced Text Analysis Techniques 4
    • Text and Document Classification Technologies 4
    • Web Data Mining and Analysis 11

Weifeng Su

34 papers receiving 322 citations

Peers

Weifeng Su
Comparison fields: 5 of 77
  • Information Systems 144
  • Signal Processing 56
  • Computer Networks and Communications 107
  • Artificial Intelligence 130
  • Management Science and Operations Research 50
Replace Silviu Maniu with:
Silviu Maniu France
Lotfi Ben Romdhane Tunisia
Giridhar Maji India
Alessandro Campi Italy
Yongsheng Rao China
Thanh Tran Germany
Liangda Li United States
Zekai J. Gao United States
Indrajit Bhattacharya United States
Bogdan Cautis France
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Citations per field
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Silviu Maniu · 1×
Citations per year

Countries citing papers authored by Weifeng Su

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200950
2 200931
3 200427
4 201425
5 201124
6 201120
7 200417
8 200617
9
On the recursive sequence Xn = axn-1+bxn-2/c+dxn-1xn-2
200515
10 201814
11 201914
12
Augmenting Ensemble Classification for Word Sense Disambiguation with a Kernel PCA Model
200413
13 201512
14 202412
15 201310
16 20067
17 20127
18 20215
19 20105
20 20165

About Weifeng Su

Weifeng Su is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 40 papers that have together received 358 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (11 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (4 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Information Systems (144 citations), Signal Processing (56 citations), Computer Networks and Communications (107 citations), Artificial Intelligence (130 citations) and Management Science and Operations Research (50 citations). Weifeng Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Frederick H. Lochovsky, Jiying Wang, Dekai Wu, Marine Carpuat, Graham M. Megson, Xiaofan Yang, Yi Liu, Yunqing Xia, Yafei Li and Jianliang Xu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on the Web, Medicine, Journal of Fourier Analysis and Applications and IEEE/ACM Transactions on Computational Biology 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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