Xiaoling Li

443 citations
16 papers · 197 · h-index 8

Impact in

Papers in

Xiaoling Li

14 papers receiving 197 citations

Peers

Xiaoling Li
Comparison fields: 5 of 48
  • Signal Processing 62
  • Computer Networks and Communications 108
  • Geography, Planning and Development 16
  • Information Systems 45
  • Artificial Intelligence 49
Replace Donghua Yang with:
Donghua Yang China
Wang‐Chien Lee United States
Evan A. Sultanik United States
Dan Vodislav France
Vikram Nathan United States
Mingyang Zhang China
A. B. Siddique United States
Huabei Yin United States
Kevin Pu Canada
Joachim Spoerhase Germany
Xiaoling Li relative to Donghua Yang China Donghua Yang's profile →
Citations per field
00.5×1.5×2.4×
Donghua Yang · 1×
Citations per year

Countries citing papers authored by Xiaoling Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Xiaoling Li, 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 Xiaoling Li Line = papers co-authored together Xiaoling Li links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201384
2 201332
3 202414
4 202413
5 201213
6 20259
7 20148
8 20177
9 20197
10 20134
11 20252
12 20242
13 20221
14 20131
15 20250
16 20250

About Xiaoling Li

Xiaoling Li is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 197 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Software-Defined Networks and 5G (4 papers), Advanced Optical Network Technologies (3 papers), Cloud Computing and Resource Management (3 papers), Advanced Database Systems and Queries (2 papers), Automated Road and Building Extraction (2 papers), Context-Aware Activity Recognition Systems (1 paper) and Fiscal Policy and Economic Growth (1 paper). The work is most often cited by research in Signal Processing (62 citations), Computer Networks and Communications (108 citations), Geography, Planning and Development (16 citations), Information Systems (45 citations) and Artificial Intelligence (49 citations). Xiaoling Li has collaborated with scholars based in China. Frequent co-authors include Xiaoyong Li, Yuan Wang, Yijie Wang, Bo Ding, Huaimin Wang, Yanqiong Liu, Dawei Feng, Kaijun Ren, Tao Liu and Guanjun Bao. Their work appears in journals such as Sustainability, Future Generation Computer Systems, International Review of Financial Analysis, Swarm and Evolutionary Computation and Science China 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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