Bolin Ding

6.9k citations
119 papers · 3.8k indexed · 2 hit papers · h-index 31

Impact in

Papers in

Bolin Ding

110 papers receiving 3.7k citations

Hit Papers

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation 2024 · 63 citations
630+2+4Years since publication50100150200

Peers

Bolin Ding
Comparison fields: 5 of 110
  • Signal Processing 1.3k
  • Computer Science Applications 538
  • Transportation 547
  • Artificial Intelligence 1.9k
  • Computer Networks and Communications 1.2k
Replace Sihem Amer-Yahia with:
Sihem Amer-Yahia France
Philippe Cudré-Mauroux Switzerland
Jianhua Feng China
Jianliang Xu Hong Kong
Vincent W. Zheng Singapore
Man Lung Yiu Hong Kong
Zhifeng Bao Australia
Shuo Shang China
Walid G. Aref United States
Defu Lian China
Bolin Ding relative to Sihem Amer-Yahia France Sihem Amer-Yahia's profile →
Citations per field
00.5×
Sihem Amer-Yahia · 1×
Citations per year

Countries citing papers authored by Bolin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Bolin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Simple and Deep Graph Convolutional Networks
Hit paper breakdown →
2020233
2 2016215
3 2010214
4 2007213
5 2010197
6 2008161
7 2016136
8 2008119
9 2011110
10 2016107
11 2011106
12 201198
13 201685
14 200883
15 201782
16 200871
17 201168
18
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Hit paper breakdown →
202463
19 201963
20 201660

About Bolin Ding

Bolin Ding is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Science Applications, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (37 papers), Privacy-Preserving Technologies in Data (36 papers), Advanced Database Systems and Queries (29 papers), Cryptography and Data Security (19 papers), Mobile Crowdsensing and Crowdsourcing (15 papers), Advanced Graph Neural Networks (14 papers), Data Stream Mining Techniques (14 papers) and Privacy, Security, and Data Protection (9 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Science Applications (538 citations), Transportation (547 citations), Artificial Intelligence (1.9k citations) and Computer Networks and Communications (1.2k citations). Bolin Ding has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jiawei Han, Yaliang Li, Roland Kays, Jeffrey Xu Yu, Lu Qin, Zhenhui Li, Surajit Chaudhuri, Lei Chen, Yongxin Tong and Jingren Zhou. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, The VLDB Journal and Information Sciences.

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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