Bolin Ding

7.1k citations
129 papers · 4.4k · 3 hit papers · h-index 33

Impact in

Papers in

Bolin Ding

121 papers receiving 4.2k citations

Bolin Ding's Hit Papers

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation 2024 · 84 citations
840+3+6Years since publication50100150200250

Peers

Bolin Ding
Comparison fields: 5 of 116
  • Signal Processing 1.5k
  • Computer Science Applications 608
  • Transportation 635
  • Artificial Intelligence 2.2k
  • Computer Networks and Communications 1.4k
Replace Jianhua Feng with:
Jianhua Feng China
Jianliang Xu Hong Kong
Man Lung Yiu Hong Kong
Vincent W. Zheng Singapore
Zhifeng Bao Australia
Shuo Shang China
Αλέξανδρος Νανόπουλος Greece
Defu Lian China
Yunjun Gao China
Guangzhong Sun China
Bolin Ding relative to Jianhua Feng China Jianhua Feng's profile →
Citations per field
00.5×6.3×
Jianhua Feng · 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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010267
2
Online mobile Micro-Task Allocation in spatial crowdsourcing
Hit paper breakdown →
2016259
3 2007251
4
Simple and Deep Graph Convolutional Networks
Hit paper breakdown →
2020248
5 2010233
6 2008192
7 2016171
8 2008131
9 2011123
10 2011115
11 2016111
12 2011108
13 200898
14 201691
15 201789
16 200885
17
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Hit paper breakdown →
202484
18 201173
19 201370
20 201969

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 129 papers that have together received 4.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (40 papers), Privacy-Preserving Technologies in Data (37 papers), Advanced Database Systems and Queries (31 papers), Cryptography and Data Security (19 papers), Advanced Graph Neural Networks (15 papers), Data Stream Mining Techniques (15 papers), Mobile Crowdsensing and Crowdsourcing (15 papers) and Time Series Analysis and Forecasting (10 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Science Applications (608 citations), Transportation (635 citations), Artificial Intelligence (2.2k citations) and Computer Networks and Communications (1.4k citations). Bolin Ding has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jiawei Han, Roland Kays, Jeffrey Xu Yu, Yaliang Li, Lu Qin, Zhenhui Li, Surajit Chaudhuri, Yongxin Tong, Lei Chen and Jieying She. 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 ACM Computing Surveys.

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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