Haixiang Li

453 citations
39 papers · 247 · h-index 11

Impact in

Papers in

Haixiang Li

36 papers receiving 238 citations

Peers

Haixiang Li
Comparison fields: 5 of 67
  • Filtration and Separation 13
  • Catalysis 32
  • Computer Networks and Communications 59
  • Analytical Chemistry 24
  • Electrochemistry 15
Replace Pavel Karpov with:
Pavel Karpov Russia
Sanmitra Banerjee United States
Zhengli Xiao China
Chandani Sharma India
Ding Zhou China
Tianwei Zhang United States
Yuanyuan Yuan China
Xingyue Chen China
Hailun Xia China
Haixiang Li relative to Pavel Karpov Russia Pavel Karpov's profile →
Citations per field
00.5×6.5×
Pavel Karpov · 1×
Citations per year

Countries citing papers authored by Haixiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Haixiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202435
2 202228
3 202419
4 202415
5 202214
6 202414
7 202213
8 202312
9 201711
10 201910
11 202510
12 20249
13 20185
14 20215
15 20184
16 20254
17 20254
18 20204
19 20193
20 20093

About Haixiang Li

Haixiang Li is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering and Analytical Chemistry, having authored 39 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (7 papers), Visual Attention and Saliency Detection (4 papers), E-commerce and Technology Innovations (3 papers), Topic Modeling (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Ionic liquids properties and applications (3 papers). The work is most often cited by research in Filtration and Separation (13 citations), Catalysis (32 citations), Computer Networks and Communications (59 citations), Analytical Chemistry (24 citations) and Electrochemistry (15 citations). Haixiang Li has collaborated with scholars based in China and Switzerland. Frequent co-authors include Xiaoxia Li, Kunze Du, Yanxu Chang, Xiaoyong Du, Jin Li, Min Han, Xuegang Wang, Xiaohui Chen, Jidong Zhai and Xuelian Yu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Talanta, Expert Systems with Applications and Food Chemistry.

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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