Mi Zhang

1.7k citations
48 papers · 1.1k indexed · h-index 11
Topics
Recommender Systems and Techniques (13 papers)Adversarial Robustness in Machine Learning (11 papers)Advanced Graph Neural Networks (8 papers)

In The Last Decade

Mi Zhang

43 papers receiving 1.0k citations

Peers

Mi Zhang
Comparison fields: 5 of 94
  • Information Systems 621
  • Artificial Intelligence 458
  • Signal Processing 243
  • Management Science and Operations Research 240
  • Computer Networks and Communications 213
Replace Sebastian Schelter with:
Sebastian Schelter Netherlands
Juan M. Fernández‐Luna Spain
Yun Sing Koh New Zealand
Parag Singla India
Ruihua Song China
Giuseppe Polese Italy
Amélie Marian United States
Tieyun Qian China
Seung-won Hwang South Korea
Mi Zhang relative to Sebastian Schelter Netherlands Sebastian Schelter's profile →
Citations per field
00.5×1.5×
Sebastian Schelter · 1×
Citations per year

Countries citing papers authored by Mi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Zhang. A scholar is included among the top collaborators of Mi Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mi Zhang. Mi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 4
4 0
5 1
6 1
7 1
8 5
9 5
10 0
11 13
12 5
13 8
14
Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent
8
15 89
16 4
17 90
18 212
19 10
20 2

About Mi Zhang

Mi Zhang is a scholar working on Signal Processing, Software and Information Systems, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Adversarial Robustness in Machine Learning (11 papers) and Advanced Graph Neural Networks (8 papers). The work is most often cited by research in Information Systems (621 citations), Signal Processing (243 citations) and Management Science and Operations Research (240 citations). Mi Zhang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Neil Hurley, Min Yang, Xudong Pan, Daizong Ding, Shouling Ji, Xiangyang Xue, Jie Tang, Xiangnan He, Xiaohan Zhang and Yinzhi Cao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Phytochemistry and IEEE Transactions on Dependable and Secure Computing.

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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