Yexi Jiang

1.0k citations
20 papers · 662 · 1 hit paper · h-index 12

Impact in

Papers in

Yexi Jiang

20 papers receiving 633 citations

Hit Papers

Data-Driven Techniques in Disaster Information Management 2017 · 250 citations
2500+3+6Years since publication50100150200250

Peers

Yexi Jiang
Comparison fields: 5 of 99
  • Information Systems 307
  • Computer Networks and Communications 249
  • Management Science and Operations Research 116
  • Artificial Intelligence 265
  • Signal Processing 62
Replace Chunqiu Zeng with:
Chunqiu Zeng United States
Wubai Zhou United States
Mohamed Nazih Omri Tunisia
Xiaoli Wang China
Rasha Kashef Canada
Yun Sing Koh New Zealand
Lilly Suriani Affendey Malaysia
Ce Zhang China
Pankaj Mehra United States
E Haihong China
Yexi Jiang relative to Chunqiu Zeng United States Chunqiu Zeng's profile →
Citations per field
00.5×1.7×
Chunqiu Zeng · 1×
Citations per year

Countries citing papers authored by Yexi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yexi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Data-Driven Techniques in Disaster Information Management
Hit paper breakdown →
2017250
2 201374
3 201160
4 201444
5 201537
6 201735
7 201233
8 201327
9 201418
10 201117
11 201717
12 201211
13 201410
14 20149
15 20155
16 20164
17 20084
18 20144
19 20132
20 20091

About Yexi Jiang

Yexi Jiang is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 20 papers that have together received 662 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (7 papers), Software System Performance and Reliability (6 papers), Time Series Analysis and Forecasting (4 papers), Cloud Computing and Resource Management (4 papers), Data Mining Algorithms and Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers), Web Data Mining and Analysis (4 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Information Systems (307 citations), Computer Networks and Communications (249 citations), Management Science and Operations Research (116 citations), Artificial Intelligence (265 citations) and Signal Processing (62 citations). Yexi Jiang has collaborated with scholars based in United States and China. Frequent co-authors include Tao Li, Chang-Shing Perng, Rong Chang, Chunqiu Zeng, Wubai Zhou, Tao Li, Zheng Li, Yue Huang, Wei Xue and Liang Tang. Their work appears in journals such as ACM Computing Surveys, ACM Transactions on Intelligent Systems and Technology, Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Network and Service Management.

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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